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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. 23591
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    INDEX
    Explanations

    reasons or justifications for certain actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    justifications and explanations related to reasons and rationale

    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
    esc
    -0.74
    psy
    -0.69
    scl
    -0.69
     Status
    -0.65
     Pix
    -0.64
     Ping
    -0.64
     Buc
    -0.63
    usters
    -0.63
     Carbuncle
    -0.62
    zig
    -0.62
    POSITIVE LOGITS
     justifying
    0.97
     justifies
    0.88
     why
    0.86
     justify
    0.84
     justification
    0.82
     justified
    0.80
    ¿½
    0.79
    ifiable
    0.78
    tarian
    0.76
     motives
    0.76
    Activations Density 0.180%

    No Known Activations