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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. 7-RES-JB
    11. 11547
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    Explanations

    phrases indicating strong opinions or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to analysis and judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flo
    -0.64
    ukemia
    -0.63
    pes
    -0.62
    DOC
    -0.60
     Hep
    -0.59
    CG
    -0.58
     hust
    -0.57
    ghan
    -0.57
    perty
    -0.57
     screened
    -0.56
    POSITIVE LOGITS
     oneself
    1.04
    enance
    1.04
     objectively
    0.84
     ourselves
    0.79
     anything
    0.78
     conclusions
    0.77
     distinctions
    0.75
     any
    0.75
     hypocrisy
    0.72
    uate
    0.71
    Activations Density 0.348%

    No Known Activations