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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. 7203
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    Explanations

    references to geographical features, specifically hills

    oai_token-act-pair · gpt-3.5-turbo

    references to hills

    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
    uality
    -0.83
    âĸijâĸij
    -0.65
     Marketable
    -0.65
    cius
    -0.65
    ECA
    -0.65
    byter
    -0.65
    iction
    -0.65
    alg
    -0.64
    obyl
    -0.64
    cci
    -0.63
    POSITIVE LOGITS
     hill
    1.13
     hills
    1.09
    side
    0.95
    frog
    0.92
     slopes
    0.88
    tops
    0.87
     slope
    0.79
    castle
    0.78
    keeper
    0.78
    stead
    0.78
    Activations Density 0.009%

    No Known Activations