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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. 17950
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    Explanations

    phrases or terms related to willpower or determination

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to walking and movement

    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
    ourced
    -0.74
    manship
    -0.68
    EGIN
    -0.67
    pmwiki
    -0.65
    votes
    -0.64
    esa
    -0.63
    ptions
    -0.62
    bringing
    -0.61
    ulner
    -0.61
    aptic
    -0.61
    POSITIVE LOGITS
     plank
    0.90
     halls
    0.82
     stairs
    0.79
     distances
    0.79
     corridors
    0.72
     dh
    0.72
    abouts
    0.71
     mile
    0.71
     broom
    0.71
     trails
    0.70
    Activations Density 0.132%

    No Known Activations