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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. 9-RES-JB
    11. 3398
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    INDEX
    Explanations

    assertions or statements being declared as correct or accurate

    oai_token-act-pair · gpt-3.5-turbo

    assertions of correctness or agreement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.91
    gins
    -0.76
     Remastered
    -0.74
     Pastebin
    -0.70
    oleon
    -0.68
    ĸļ
    -0.67
    archive
    -0.66
    WAYS
    -0.62
     Gong
    -0.62
     Pharma
    -0.60
    POSITIVE LOGITS
    eous
    1.00
    footed
    0.89
    headed
    0.87
    wing
    0.77
    fully
    0.75
    terday
    0.74
     wing
    0.72
    aez
    0.72
    eyed
    0.71
    doing
    0.70
    Activations Density 0.044%

    No Known Activations