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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. 20531
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    Explanations

    references to weapons and violent actions

    oai_token-act-pair · gpt-3.5-turbo

    words that depict various types of traps or hazardous 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
    imir
    -0.74
     Scand
    -0.74
     Ars
    -0.73
     Rewards
    -0.72
     Site
    -0.70
     Journalism
    -0.70
     Journalists
    -0.69
     Songs
    -0.69
     Vend
    -0.68
     Lovely
    -0.68
    POSITIVE LOGITS
    etheless
    0.82
     exting
    0.76
     fist
    0.72
    forces
    0.70
     nodd
    0.70
    opping
    0.69
    packed
    0.68
     masses
    0.66
     spitting
    0.66
     slic
    0.66
    Activations Density 0.190%

    No Known Activations