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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. 11-RES-JB
    11. 6667
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    Explanations

    verbs related to actions and movements

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing personal struggles and the difficulty of expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rongh
    -0.83
    BLIC
    -0.59
    ghan
    -0.57
    probably
    -0.57
    ramid
    -0.57
     periodically
    -0.56
    aez
    -0.55
     advisory
    -0.54
    hement
    -0.54
    leted
    -0.54
    POSITIVE LOGITS
     anymore
    1.41
    enough
    1.10
     coherent
    0.98
     adequately
    0.97
     enough
    0.96
    Enough
    0.95
     anything
    0.94
     nor
    0.89
     any
    0.85
     anybody
    0.82
    Activations Density 0.193%

    No Known Activations