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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. 1878
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    Explanations

    mentions of time frames or temporal aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to "second half" in various contexts

    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
    urat
    -0.76
    IUM
    -0.68
    SHIP
    -0.66
    inates
    -0.66
    abilia
    -0.65
    verified
    -0.65
    anyon
    -0.64
    ilial
    -0.64
    IFIED
    -0.63
    enegger
    -0.63
    POSITIVE LOGITS
    pipe
    0.86
    enium
    0.79
    finals
    0.72
     hour
    0.70
    kick
    0.69
    wich
    0.69
    imester
    0.67
    ftime
    0.66
    noon
    0.66
    nings
    0.66
    Activations Density 0.022%

    No Known Activations