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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. 1-RES-JB
    11. 21023
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    Explanations

    time-related expressions, specifically related to events happening onwards or thereafter

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to continuity or progression in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.71
    roph
    -0.69
    yer
    -0.66
    acea
    -0.64
    yp
    -0.63
    raz
    -0.62
    DR
    -0.61
    HO
    -0.60
     Cosponsors
    -0.60
    abul
    -0.60
    POSITIVE LOGITS
     onward
    1.46
     onwards
    1.41
    forth
    1.24
    forward
    0.94
     thereafter
    0.89
    hower
    0.84
    wagon
    0.84
    )=(
    0.80
    clair
    0.80
    chwitz
    0.80
    Activations Density 0.004%

    No Known Activations