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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. 4-RES-JB
    11. 16504
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    Explanations

    names of locations or organizations, particularly related to legal actions like arraignment

    oai_token-act-pair · gpt-3.5-turbo

    words related to legal charges and arraignment

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

    No Comments

    Negative Logits
    cling
    -0.71
    tz
    -0.66
     blanket
    -0.66
     Subject
    -0.63
    ocular
    -0.61
    arty
    -0.60
    bered
    -0.59
    æī
    -0.59
    EEE
    -0.59
    oiler
    -0.58
    POSITIVE LOGITS
    sembly
    0.82
    essor
    0.82
    enger
    0.82
    irez
    0.80
    ortment
    0.80
    engers
    0.78
    ignment
    0.76
    erville
    0.73
     arra
    0.71
    uations
    0.70
    Activations Density 0.023%

    No Known Activations