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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. 3-RES-JB
    11. 16482
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    INDEX
    Explanations

    mentions of people and their professions or roles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals and their assertions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venge
    -0.72
     ceremonial
    -0.68
     throne
    -0.60
     rebellious
    -0.59
     discipl
    -0.59
     revenge
    -0.59
     coffin
    -0.57
    enemy
    -0.57
     diaper
    -0.57
     inciting
    -0.57
    POSITIVE LOGITS
    ucci
    0.72
     Shapiro
    0.70
     Schw
    0.70
     Rosenthal
    0.69
     Eh
    0.69
    sten
    0.69
     Meier
    0.68
     Browne
    0.66
     Levy
    0.66
     Friedman
    0.66
    Activations Density 0.695%

    No Known Activations