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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. 3-RES-JB
    11. 24104
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    Explanations

    phrases indicating starting or initiating an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a sequence of actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    steen
    -0.82
    iors
    -0.77
    Shop
    -0.73
    enegger
    -0.69
     poured
    -0.68
    enes
    -0.67
    onest
    -0.63
    omer
    -0.61
     spilled
    -0.60
    roit
    -0.58
    POSITIVE LOGITS
    ilts
    0.80
     loose
    0.75
    _-_
    0.68
    ////////////////////////////////
    0.68
    irements
    0.67
    Redd
    0.67
    ucket
    0.67
    sonian
    0.67
    mberg
    0.66
    actionDate
    0.65
    Activations Density 0.180%

    No Known Activations