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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. 3-RES-JB
    11. 5881
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    Explanations

    references to sand

    oai_token-act-pair · gpt-3.5-turbo

    references to sand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    GBT
    -0.81
    BY
    -0.74
    urses
    -0.72
    PsyNetMessage
    -0.71
     aver
    -0.71
    oresc
    -0.70
    SPONSORED
    -0.70
    Reloaded
    -0.69
    BILITIES
    -0.66
     sidx
    -0.64
    POSITIVE LOGITS
    bag
    0.98
    stone
    0.95
    bags
    0.94
    paper
    0.91
    storms
    0.89
    hill
    0.88
    scape
    0.85
    bat
    0.83
    tro
    0.83
    castle
    0.82
    Activations Density 0.005%

    No Known Activations