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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. 6-RES-JB
    11. 10809
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    Explanations

    chemical compounds

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ure" related to various contexts and themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icker
    -0.79
    eworks
    -0.76
    iary
    -0.73
    arella
    -0.72
    iaries
    -0.72
    aird
    -0.71
    ancial
    -0.69
    ependence
    -0.68
    ocular
    -0.68
    imates
    -0.68
    POSITIVE LOGITS
    nces
    1.12
    nce
    1.00
    tsky
    1.00
    tt
    0.98
    vich
    0.96
    MENTS
    0.95
    lli
    0.93
    witz
    0.92
    ment
    0.84
    ments
    0.84
    Activations Density 0.037%

    No Known Activations