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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
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    Explanations

    references to sports teams, specifically the Los Angeles Chargers and San Diego Padres

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Chargers football team

    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
    ebin
    -0.96
    eor
    -0.90
    ocobo
    -0.80
    judicial
    -0.79
    anyahu
    -0.77
    lly
    -0.76
    schild
    -0.76
    DonaldTrump
    -0.76
     WARN
    -0.75
    aundering
    -0.74
    POSITIVE LOGITS
     Chargers
    1.26
     Padres
    0.84
    ULTS
    0.78
     Oro
    0.78
    iants
    0.78
     Hots
    0.72
     Franch
    0.67
     Slot
    0.67
    -+-+
    0.66
     Charg
    0.66
    Activations Density 0.011%

    No Known Activations