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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. 9538
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    Explanations

    mentions of individuals who are in, or related to, a hall of fame

    oai_token-act-pair · gpt-3.5-turbo

    references to the Hall of Fame

    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
    uyomi
    -0.89
    rouse
    -0.82
    nexus
    -0.77
    kun
    -0.70
    ãĥĺãĥ©
    -0.70
    dot
    -0.69
    irie
    -0.69
    emis
    -0.69
    cos
    -0.66
    arette
    -0.65
    POSITIVE LOGITS
     Fame
    0.89
     honors
    0.72
     Representatives
    0.70
    backer
    0.69
     elders
    0.68
     Heroes
    0.67
     hangs
    0.63
     knocks
    0.62
    umbered
    0.62
     Champions
    0.61
    Activations Density 0.040%

    No Known Activations