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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. 1-RES-JB
    11. 9024
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    Explanations

    references to the sports 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.82
     bellig
    -0.74
     grav
    -0.69
     causal
    -0.69
     whistlebl
    -0.65
     dissemination
    -0.60
     tip
    -0.59
     Miranda
    -0.58
     disclosure
    -0.58
     paragraph
    -0.58
    POSITIVE LOGITS
     Rams
    1.25
    aic
    0.93
    eco
    0.86
    heed
    0.83
    mers
    0.81
    bugs
    0.81
    icum
    0.81
    bane
    0.80
    locks
    0.80
    aurus
    0.79
    Activations Density 0.004%

    No Known Activations