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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. 4-RES-JB
    11. 22243
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    Explanations

    phrases related to setting, starting, or initiating various actions or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of setting standards or achieving significance in various contexts

    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
    enegger
    -0.78
    iors
    -0.76
    steen
    -0.69
    itely
    -0.69
    otten
    -0.66
    SB
    -0.65
    parts
    -0.62
     subt
    -0.61
    spell
    -0.61
     poured
    -0.61
    POSITIVE LOGITS
     precedent
    0.84
    ilts
    0.76
     abl
    0.75
     sails
    0.75
     loose
    0.70
     Ascend
    0.69
    eering
    0.69
    mberg
    0.68
     Sail
    0.67
    IK
    0.66
    Activations Density 0.127%

    No Known Activations