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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. 23743
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    Explanations

    words related to events happening or taking place

    oai_token-act-pair · gpt-3.5-turbo

    the verb "occur" and its variations related to events or phenomena happening at specific times

    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
    ilts
    -0.83
    step
    -0.75
    edged
    -0.75
    iled
    -0.72
    grown
    -0.70
    shaw
    -0.69
    acked
    -0.68
    edge
    -0.66
    tip
    -0.64
    axter
    -0.64
    POSITIVE LOGITS
    uate
    1.23
    rences
    1.02
    uated
    0.97
    uates
    0.95
    uating
    0.91
    uation
    0.85
    uations
    0.79
     anew
    0.77
     [&
    0.71
     occurring
    0.69
    Activations Density 0.036%

    No Known Activations