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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. 1-RES-JB
    11. 13299
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    Explanations

    proper nouns related to names of individuals and places

    oai_token-act-pair · gpt-3.5-turbo

    names of people and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ptives
    -0.82
    GBT
    -0.73
    PUT
    -0.73
    lda
    -0.71
    bnb
    -0.69
    aneous
    -0.69
    adden
    -0.67
    ption
    -0.67
    ãĥ¤
    -0.67
    xual
    -0.67
    POSITIVE LOGITS
     Kath
    0.88
    sburg
    0.81
    stones
    0.80
    sten
    0.78
    dale
    0.76
    laus
    0.75
    las
    0.75
    arine
    0.75
    mand
    0.74
    alos
    0.73
    Activations Density 0.014%

    No Known Activations