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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. 0-RES-JB
    11. 1695
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    Explanations

    patterns related to electronic devices such as e-readers and smartphones

    oai_token-act-pair · gpt-3.5-turbo

    references to books and literature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.72
    anism
    -0.71
    pet
    -0.71
    Ring
    -0.69
    stage
    -0.67
    lace
    -0.65
    PET
    -0.64
    alias
    -0.64
    ded
    -0.63
    emp
    -0.62
    POSITIVE LOGITS
    ooks
    3.35
    ixels
    1.28
    ooked
    1.12
    humans
    1.11
    idents
    0.92
    agos
    0.89
    unks
    0.83
    unky
    0.81
    owsky
    0.79
    OOK
    0.73
    Activations Density 0.018%

    No Known Activations