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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. 6-RES-JB
    11. 7315
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    Explanations

    references to a specific entity named "Argos"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific teams or individuals associated with a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.97
    stroke
    -0.74
    esome
    -0.74
    cules
    -0.71
    avorite
    -0.69
    edged
    -0.68
     actionGroup
    -0.67
    æĸ¹
    -0.66
    ARDS
    -0.65
    arthy
    -0.65
    POSITIVE LOGITS
    uments
    1.02
    iot
    0.93
    ument
    0.93
    acle
    0.85
    unia
    0.84
    rah
    0.83
    ago
    0.81
    ters
    0.78
    pora
    0.78
    agan
    0.76
    Activations Density 0.055%

    No Known Activations