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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. 3-RES-JB
    11. 21213
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    Explanations

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thous
    -0.71
    ©¶æ
    -0.66
     horizont
    -0.65
     behavi
    -0.62
     vulner
    -0.61
     challeng
    -0.61
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.60
     explan
    -0.58
    edIn
    -0.57
     misunder
    -0.56
    POSITIVE LOGITS
     Psy
    0.64
    esson
    0.59
    mosp
    0.58
     Squirrel
    0.57
    CVE
    0.55
     sidx
    0.54
     Pok
    0.52
    actionDate
    0.52
     PLoS
    0.51
    nee
    0.50
    Activations Density 0.190%

    No Known Activations