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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. 9-RES-JB
    11. 23327
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    Explanations

    punctuation marks such as commas signaling a notable change in thought or emphasis

    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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rill
    -0.72
    ULAR
    -0.69
    oir
    -0.67
    ROR
    -0.67
    ngth
    -0.65
    vised
    -0.65
    EO
    -0.64
    yna
    -0.64
    wash
    -0.64
    oub
    -0.63
    POSITIVE LOGITS
     nevertheless
    1.18
     nonetheless
    0.94
     there
    0.90
    there
    0.83
     namely
    0.82
     it
    0.82
     owing
    0.73
     alas
    0.68
     retaining
    0.68
     neither
    0.67
    Activations Density 0.159%

    No Known Activations