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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. 3-RES-JB
    11. 11302
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    Explanations

    locations or objects related to the shore

    oai_token-act-pair · gpt-3.5-turbo

    references to shores and shorelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æł
    -0.72
    ioch
    -0.71
    GER
    -0.70
    iator
    -0.69
     cigarettes
    -0.65
    ible
    -0.65
    isible
    -0.65
    BIP
    -0.65
    KER
    -0.64
     epidemic
    -0.64
    POSITIVE LOGITS
     shore
    1.10
    line
    1.09
    lines
    1.04
    side
    0.88
    stal
    0.88
    front
    0.87
    liner
    0.82
    board
    0.81
     shores
    0.81
    mallow
    0.79
    Activations Density 0.008%

    No Known Activations