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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. 8-RES-JB
    11. 8952
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    INDEX
    Explanations

    occupations or roles within a workplace

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various groups of people or professions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DonaldTrump
    -0.79
    forward
    -0.60
    forestation
    -0.60
    atever
    -0.59
    Lago
    -0.59
    \\\\\\\\
    -0.57
    ģ«
    -0.56
    renheit
    -0.55
     Overs
    -0.55
    amia
    -0.55
    POSITIVE LOGITS
     themselves
    1.16
    folk
    1.11
    '
    1.01
    hest
    1.00
    hip
    0.93
    ']
    0.92
    layer
    0.87
    iest
    0.86
     involved
    0.85
     who
    0.83
    Activations Density 0.246%

    No Known Activations