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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. 248
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    Explanations

    references to protective gear or measures

    oai_token-act-pair · gpt-3.5-turbo

    references to protective elements or measures

    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
    quart
    -0.84
    igon
    -0.81
    licks
    -0.81
    avez
    -0.77
    zig
    -0.75
    ulhu
    -0.75
    inator
    -0.74
    onde
    -0.74
    cellent
    -0.72
    udder
    -0.72
    POSITIVE LOGITS
     custody
    0.82
     Protective
    0.80
     measures
    0.80
     protective
    0.77
     shield
    0.75
     barriers
    0.73
     instincts
    0.72
     attachment
    0.70
    ity
    0.69
     Cust
    0.69
    Activations Density 0.024%

    No Known Activations