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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. 23683
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    Explanations

    proper nouns related to a specific entity (probably a person or organization) named "Asa."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly with names

    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
    igree
    -0.82
    polit
    -0.82
    iations
    -0.71
    sburgh
    -0.68
    gradient
    -0.67
    egg
    -0.67
    rigan
    -0.66
    pter
    -0.65
    iating
    -0.65
    er
    -0.64
    POSITIVE LOGITS
    asa
    1.02
    ñ
    0.93
    quez
    0.83
    udi
    0.82
    ques
    0.79
    uthor
    0.77
    BILITIES
    0.77
    emia
    0.76
    llan
    0.75
    ãĤ´ãĥ³
    0.75
    Activations Density 0.007%

    No Known Activations