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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. 2-RES-JB
    11. 8072
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    Explanations

    references to a specific sports team - the 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.84
     causal
    -0.74
     grav
    -0.73
     bellig
    -0.70
    judicial
    -0.67
     whistlebl
    -0.65
     dissemination
    -0.64
    CLASSIFIED
    -0.61
     disclosure
    -0.60
    ller
    -0.60
    POSITIVE LOGITS
     Rams
    1.14
    aic
    0.94
    icum
    0.85
    eco
    0.82
    guards
    0.82
    esses
    0.81
    bane
    0.80
    opa
    0.78
    ultan
    0.77
    adier
    0.76
    Activations Density 0.006%

    No Known Activations