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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. 10374
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    Explanations

    the word "Val" followed by a number ranging from 9 to 10

    oai_token-act-pair · gpt-3.5-turbo

    the word "Val" 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
    pread
    -0.76
     oven
    -0.68
    ELF
    -0.68
     EntityItem
    -0.66
    OME
    -0.63
    steps
    -0.63
     Ways
    -0.62
    omes
    -0.61
    nesses
    -0.59
     Tribunal
    -0.58
    POSITIVE LOGITS
    idation
    1.31
    ueless
    1.23
    idated
    1.19
    ibr
    1.14
    uable
    1.11
    uations
    1.11
    entin
    1.07
    uation
    1.06
    idate
    1.06
    encia
    1.03
    Activations Density 0.023%

    No Known Activations