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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. 1-RES-JB
    11. 23995
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    Explanations

    names of individuals in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals associated with notable actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ardon
    -0.91
    xon
    -0.82
    utsche
    -0.82
    lov
    -0.76
    osta
    -0.75
    illance
    -0.74
    alm
    -0.74
    iary
    -0.72
    Naz
    -0.71
    err
    -0.70
    POSITIVE LOGITS
     animate
    0.83
     Shirley
    0.76
    nces
    0.76
    nton
    0.73
     Iro
    0.72
     Lum
    0.72
     Sunder
    0.72
     plumbing
    0.72
     Hir
    0.71
     literacy
    0.71
    Activations Density 0.028%

    No Known Activations