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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
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    INDEX
    Explanations

    proper nouns, specifically the word "Stone" along with numerical values following it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Stone"

    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
    olulu
    -0.96
    merce
    -0.81
    unct
    -0.81
    unal
    -0.79
    uates
    -0.74
    uate
    -0.73
    usc
    -0.72
    ARI
    -0.72
    oresc
    -0.71
    ornia
    -0.71
    POSITIVE LOGITS
    Stone
    1.21
     Stone
    1.17
    hill
    1.03
    breaker
    1.00
    falls
    0.88
     Golem
    0.87
    hook
    0.86
    fish
    0.84
     Stones
    0.83
    castle
    0.82
    Activations Density 0.008%

    No Known Activations