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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. 16045
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    INDEX
    Explanations

    references to displaying or presenting something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "show" and its variations

    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
    kson
    -0.71
    adesh
    -0.64
    ataka
    -0.63
    etary
    -0.61
     manif
    -0.60
    ades
    -0.60
    prime
    -0.60
    alez
    -0.59
     heading
    -0.59
     Blackwell
    -0.58
    POSITIVE LOGITS
    ered
    1.17
    biz
    1.04
    alter
    1.03
    case
    0.86
    cases
    0.86
     signs
    0.84
    runners
    0.83
    rooms
    0.82
    downs
    0.80
    boat
    0.79
    Activations Density 0.061%

    No Known Activations