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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. 6-RES-JB
    11. 9885
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    INDEX
    Explanations

    phrases related to reactions and consequences of specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating responses to events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FIG
    -0.71
    anim
    -0.67
    Anim
    -0.67
    Sport
    -0.66
    stars
    -0.66
    via
    -0.65
    Stars
    -0.64
     achieves
    -0.63
    SN
    -0.63
    journal
    -0.63
    POSITIVE LOGITS
     concerns
    1.00
     fears
    0.99
     allegations
    0.96
     objections
    0.90
     suspicions
    0.87
     jurisd
    0.87
     threats
    0.82
     alleged
    0.82
     perceived
    0.81
     longstanding
    0.80
    Activations Density 0.260%

    No Known Activations