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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. 8-RES-JB
    11. 11327
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    Explanations

    the word "flat" with various intensities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "flat" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVERS
    -0.90
    EMENT
    -0.87
    emonic
    -0.84
    GBT
    -0.76
     ANGEL
    -0.73
    ymes
    -0.72
    EStream
    -0.71
    utra
    -0.71
     appropri
    -0.69
     Ago
    -0.67
    POSITIVE LOGITS
    tered
    1.27
    ulent
    1.15
    ulence
    1.13
    lining
    1.13
    bed
    1.12
    bread
    1.06
    ters
    1.03
    lined
    1.02
    iron
    1.00
    tering
    0.99
    Activations Density 0.024%

    No Known Activations