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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. 7-RES-JB
    11. 3543
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    Explanations

    references to different police departments

    oai_token-act-pair · gpt-3.5-turbo

    references to police departments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    figure
    -0.79
    term
    -0.75
    sed
    -0.73
    opian
    -0.72
    piring
    -0.71
    leaf
    -0.69
    ties
    -0.69
    alien
    -0.69
    ãĤ¦
    -0.67
    sett
    -0.66
    POSITIVE LOGITS
     SWAT
    0.90
     superintendent
    0.85
     Superintendent
    0.83
    abulary
    0.83
     brass
    0.82
     Department
    0.82
     Inspector
    0.81
     paramed
    0.78
     Uniform
    0.76
    ENSE
    0.74
    Activations Density 0.063%

    No Known Activations