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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. 8990
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    Explanations

    phrases emphasizing causation or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight the concept of causation or the act of making something happen

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ban
    -0.66
    thia
    -0.62
    ---------
    -0.61
     Bride
    -0.59
     Dud
    -0.59
     nurs
    -0.58
    assis
    -0.57
     Slov
    -0.56
    Thom
    -0.56
     Witch
    -0.56
    POSITIVE LOGITS
    hift
    1.27
     sure
    0.94
    ailable
    0.91
    paces
    0.91
    ometimes
    0.89
    ynthesis
    0.88
    berra
    0.86
    pace
    0.84
    ensibly
    0.84
     landfall
    0.81
    Activations Density 0.087%

    No Known Activations