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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
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    Explanations

    locations or places named "Burns."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and names

    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
    eanor
    -0.77
    afort
    -0.72
    INAL
    -0.69
    ilial
    -0.69
    rium
    -0.69
    remlin
    -0.69
    pai
    -0.68
    ascal
    -0.67
    role
    -0.66
    iour
    -0.65
    POSITIVE LOGITS
     Burns
    1.26
     Burn
    0.85
    leys
    0.82
    ford
    0.81
    lee
    0.79
    leigh
    0.79
    lett
    0.77
    Burn
    0.77
    ville
    0.76
    LEY
    0.75
    Activations Density 0.007%

    No Known Activations