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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. 4-RES-JB
    11. 16841
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    Explanations

    specific references to time or actions happening within a specific time frame

    oai_token-act-pair · gpt-3.5-turbo

    the word "through" and related contextual usages indicating continuity or duration

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

    No Comments

    Negative Logits
    CTV
    -0.68
     whales
    -0.68
    ailable
    -0.66
    abet
    -0.65
    etus
    -0.64
     inval
    -0.63
    SPA
    -0.62
     nar
    -0.60
    juven
    -0.60
    aires
    -0.60
    POSITIVE LOGITS
    put
    0.73
     intermedi
    0.69
     Seasons
    0.68
     thru
    0.68
     Labor
    0.66
     waivers
    0.66
    through
    0.66
     Rodgers
    0.65
    shaw
    0.64
    ework
    0.63
    Activations Density 0.044%

    No Known Activations