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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. 3-RES-JB
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    Explanations

    references to the sports team "Cowboys"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Dallas Cowboys football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itia
    -0.80
    igating
    -0.77
    igation
    -0.77
    tered
    -0.75
    iltration
    -0.73
    igated
    -0.70
    chell
    -0.69
    oldemort
    -0.68
    uted
    -0.66
    tering
    -0.65
    POSITIVE LOGITS
     Cowboys
    1.17
    esses
    0.98
     Mavericks
    0.97
     Stadium
    0.85
     Ezekiel
    0.85
    men
    0.79
     Raiders
    0.78
    layer
    0.75
     Instruments
    0.74
    Stars
    0.74
    Activations Density 0.009%

    No Known Activations