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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 the football team "Rams"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Rams 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
    judicial
    -0.73
    lly
    -0.69
    ternity
    -0.66
     bellig
    -0.64
     causal
    -0.64
     grav
    -0.63
     fide
    -0.61
    structed
    -0.61
     testim
    -0.61
    CLASSIFIED
    -0.61
    POSITIVE LOGITS
     Rams
    1.10
    aic
    0.97
    mers
    0.89
    borg
    0.87
    opa
    0.85
    eco
    0.85
    gaard
    0.82
    der
    0.81
    icum
    0.79
    bane
    0.78
    Activations Density 0.007%

    No Known Activations