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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5717
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    Explanations

    names of specific locations, possibly related to politics or events happening in those locations

    oai_token-act-pair · gpt-3.5-turbo

    references to the place or entity "Samar"

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

    No Comments

    Negative Logits
    RAFT
    -1.04
    ered
    -0.82
    spring
    -0.80
    ORN
    -0.77
    sheet
    -0.73
    puff
    -0.72
    draft
    -0.71
    cember
    -0.70
    urden
    -0.70
    ORED
    -0.70
    POSITIVE LOGITS
    itans
    1.09
    itan
    1.03
     Samar
    0.93
    pling
    0.84
    eness
    0.78
    agi
    0.76
    pha
    0.75
    elines
    0.72
    autions
    0.72
    anthrop
    0.71
    Activations Density 0.009%

    No Known Activations