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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. 9575
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    Explanations

    questions or question marks in sentences

    oai_token-act-pair · gpt-3.5-turbo

    questions and interrogative phrases

    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
    shaw
    -0.74
    eping
    -0.70
    Streamer
    -0.69
     dy
    -0.66
     marrow
    -0.65
    ahime
    -0.64
    assium
    -0.64
    aper
    -0.63
    ney
    -0.63
    arers
    -0.62
    POSITIVE LOGITS
    .?
    0.94
    ����
    0.82
    ?,
    0.77
    utm
    0.72
    ¶
    0.71
     Nah
    0.70
    ?:
    0.69
     Huh
    0.68
     Interest
    0.68
     ???
    0.68
    Activations Density 0.032%

    No Known Activations