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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. 10-RES-JB
    11. 23428
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    Explanations

    phrases related to brief or partial views or insights

    oai_token-act-pair · gpt-3.5-turbo

    references to observing or gaining insights into various subjects or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ones
    -0.69
    die
    -0.63
    DATA
    -0.62
     hemor
    -0.59
    ycle
    -0.58
    USD
    -0.57
    CI
    -0.56
    Drop
    -0.55
    erto
    -0.55
    iHUD
    -0.55
    POSITIVE LOGITS
     into
    1.17
     Into
    1.00
     INTO
    0.99
    seeing
    0.94
     inside
    0.90
    into
    0.88
     glimps
    0.86
     behind
    0.86
    behind
    0.80
     Inside
    0.80
    Activations Density 0.065%

    No Known Activations