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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19687
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    INDEX
    Explanations

    references to a specific sports team, the Rams

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    judicial
    -0.72
    ternity
    -0.72
     bellig
    -0.71
    lly
    -0.69
     causal
    -0.68
     grav
    -0.66
     whistlebl
    -0.65
     fue
    -0.63
     testim
    -0.63
     dissemination
    -0.63
    POSITIVE LOGITS
     Rams
    1.12
    aic
    0.95
    bane
    0.85
    opa
    0.84
    mers
    0.84
    esses
    0.83
    eco
    0.82
    heed
    0.82
    gaard
    0.80
    orian
    0.77
    Activations Density 0.005%

    No Known Activations