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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. 8684
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    Explanations

    names, likely of a specific individual (Mau), within the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals associated with the content

    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
    nikov
    -0.89
    é¾į
    -0.84
    selves
    -0.78
    sylvania
    -0.73
    ocks
    -0.68
     guiActiveUnfocused
    -0.68
    appers
    -0.66
    oration
    -0.65
    ographic
    -0.65
    eele
    -0.64
    POSITIVE LOGITS
    gment
    1.06
    ppo
    1.04
     Klux
    1.01
    lette
    0.97
    ll
    0.95
    ller
    0.95
    ve
    0.95
    lling
    0.95
    ffer
    0.95
    lly
    0.94
    Activations Density 0.034%

    No Known Activations