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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. 8392
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    Explanations

    numbers related to specific entities or objects

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly in the context of measurements or statistics

    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
    iard
    -0.81
    ei
    -0.78
    cles
    -0.76
    LOAD
    -0.75
    eer
    -0.75
    izen
    -0.75
    gie
    -0.74
    icz
    -0.71
    phas
    -0.69
    yang
    -0.69
    POSITIVE LOGITS
     ILCS
    1.25
    ERSON
    0.83
    %:
    0.83
     Yard
    0.77
    %-
    0.74
    WI
    0.73
    ENCY
    0.71
    ances
    0.70
    678
    0.70
    çļ
    0.70
    Activations Density 0.112%

    No Known Activations