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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. 10948
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    Explanations

    time-related expressions, particularly those involving durations of hours

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to durations of time

    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
    values
    -0.75
    oid
    -0.75
    oids
    -0.74
    bard
    -0.73
    spons
    -0.68
    imaru
    -0.68
    issue
    -0.65
    idth
    -0.64
    isol
    -0.63
    liga
    -0.63
    POSITIVE LOGITS
     apiece
    1.19
     ago
    0.87
     Ago
    0.80
     elapsed
    0.78
     intervals
    0.75
    hops
    0.73
     EDT
    0.71
     per
    0.70
     cooldown
    0.70
     each
    0.70
    Activations Density 0.093%

    No Known Activations