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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. 4967
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    INDEX
    Explanations

    quantifiers or descriptive words indicating a large amount or degree

    oai_token-act-pair · gpt-3.5-turbo

    quantifiers indicating abundance or substantiality

    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
    idding
    -0.69
    hooting
    -0.68
     Supplement
    -0.67
    abee
    -0.65
    duction
    -0.65
    Os
    -0.64
     Digest
    -0.64
    yond
    -0.63
    NS
    -0.62
     Posts
    -0.62
    POSITIVE LOGITS
     knack
    1.03
     chance
    0.95
     clout
    0.92
     doubts
    0.91
     patience
    0.90
     vested
    0.90
     affinity
    0.89
     regrets
    0.88
     advantages
    0.88
     recourse
    0.88
    Activations Density 0.253%

    No Known Activations