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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. 11231
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    Explanations

    names of individuals, particularly those involved in legal or political matters

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and references to specific people in a given context

    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
    chwitz
    -0.87
    selage
    -0.85
    ichick
    -0.81
    aimon
    -0.81
    union
    -0.79
    utsche
    -0.77
    avorite
    -0.76
    fights
    -0.75
    EStreamFrame
    -0.73
    ingu
    -0.73
    POSITIVE LOGITS
    sson
    0.89
     Lith
    0.86
     Lud
    0.81
     Golem
    0.76
     Jas
    0.74
     Megan
    0.73
     Gutenberg
    0.72
     Sturgeon
    0.71
     Dahl
    0.70
     Pebble
    0.70
    Activations Density 0.031%

    No Known Activations