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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. 11-RES-JB
    11. 505
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    INDEX
    Explanations

    sentences expressing beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of belief or conviction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apeake
    -0.83
    nec
    -0.75
    hoff
    -0.72
    noticed
    -0.70
    è»
    -0.70
    figure
    -0.69
    yna
    -0.69
    esome
    -0.68
    Poké
    -0.64
    PsyNetMessage
    -0.63
    POSITIVE LOGITS
     passionately
    1.03
     that
    0.94
     strongly
    0.84
     therein
    0.82
     differently
    0.77
     in
    0.74
     otherwise
    0.73
     there
    0.71
     they
    0.70
    phas
    0.67
    Activations Density 0.074%

    No Known Activations