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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. 7-RES-JB
    11. 21302
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    Explanations

    notes or messages within a text

    oai_token-act-pair · gpt-3.5-turbo

    references to written notes or annotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.79
    ãĥĩ
    -0.70
    rates
    -0.70
    ayne
    -0.68
    anooga
    -0.67
    eatures
    -0.67
    ILLE
    -0.67
    LOS
    -0.65
    oise
    -0.65
    abama
    -0.64
    POSITIVE LOGITS
    BOOK
    1.11
    books
    1.08
    book
    1.07
    notes
    0.94
     Keeper
    0.83
    ably
    0.80
    manship
    0.77
     notes
    0.75
    cards
    0.71
    ariat
    0.71
    Activations Density 0.040%

    No Known Activations