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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 7816
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    Explanations

    texts related to articles, reports, summaries, and image descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to articles or media coverage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •single token firings
    Individually fires on " illustration", " excerpt", " editorial", " column", " clip", " commentary", " transcript", ... . Fires more strongly if you put "Guest" or "Full" beforehand.

    No Comments

    Negative Logits
     challeng
    -0.68
    omical
    -0.63
    rongh
    -0.62
    mediated
    -0.59
    çIJ
    -0.59
    cot
    -0.58
    STD
    -0.58
    chal
    -0.58
     analogue
    -0.57
    veyard
    -0.56
    POSITIVE LOGITS
     âĸº
    0.76
     »
    0.72
    orial
    0.68
     âĸ
    0.67
     |
    0.67
     Originally
    0.67
    =""
    0.66
     reprinted
    0.65
     TRAN
    0.65
     BELOW
    0.65
    Activations Density 0.193%

    No Known Activations