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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. 16760
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    Explanations

    proper nouns, specifically names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals and references to collateral in various contexts

    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
    ld
    -0.79
    BOOK
    -0.79
    iling
    -0.78
    ħĭ
    -0.77
    gress
    -0.76
    wife
    -0.75
    restling
    -0.74
    dream
    -0.74
    ught
    -0.72
    liquid
    -0.72
    POSITIVE LOGITS
    ity
    0.90
     GOODMAN
    0.83
    ization
    0.74
    onite
    0.73
    izations
    0.69
    ateral
    0.68
    ized
    0.66
    ificate
    0.66
    isations
    0.64
     Clement
    0.64
    Activations Density 0.101%

    No Known Activations