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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. 4-RES-JB
    11. 22612
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    Explanations

    phrases instructing the reader to consider or remember information

    oai_token-act-pair · gpt-3.5-turbo

    phrases urging the reader to remember or consider certain information

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

    No Comments

    Negative Logits
    git
    -0.76
    inals
    -0.67
    iel
    -0.66
     rib
    -0.66
    MpServer
    -0.65
    INO
    -0.65
    rawled
    -0.65
    Xi
    -0.64
    Yan
    -0.63
    cgi
    -0.63
    POSITIVE LOGITS
    essage
    0.72
    fulness
    0.71
    erning
    0.71
    racuse
    0.71
     mindful
    0.65
     lest
    0.65
    pad
    0.64
     thresholds
    0.62
     limiting
    0.62
    uate
    0.61
    Activations Density 0.009%

    No Known Activations