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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. 19450
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    INDEX
    Explanations

    complex or critical statements

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions or phrases indicating contrast and complexity in sentences

    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
    esi
    -0.79
    Cause
    -0.75
    ãĤ¶
    -0.75
    soDeliveryDate
    -0.73
     teasp
    -0.73
    rote
    -0.72
    Optional
    -0.72
    ews
    -0.71
    ãĤ¦ãĤ¹
    -0.71
    rette
    -0.69
    POSITIVE LOGITS
     however
    1.42
     moreover
    1.10
     though
    1.08
     namely
    0.86
     perceptions
    0.82
     meanwhile
    0.79
     neither
    0.77
     albeit
    0.76
     whether
    0.76
     proponents
    0.74
    Activations Density 0.308%

    No Known Activations