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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. 9-RES-JB
    11. 19429
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    Explanations

    phrases indicating a specific time point in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific moments in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.64
     twins
    -0.61
     compuls
    -0.61
     twin
    -0.61
    ATA
    -0.59
    dimension
    -0.59
    Fac
    -0.59
    discrimination
    -0.56
    harm
    -0.56
    ividually
    -0.55
    POSITIVE LOGITS
     onwards
    0.80
     onward
    0.77
    cture
    0.75
    abouts
    0.75
    ebin
    0.69
    uberty
    0.67
    endment
    0.65
    ESSION
    0.64
    points
    0.61
     Constantin
    0.60
    Activations Density 0.055%

    No Known Activations