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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. 8-RES-JB
    11. 8363
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    Explanations

    adjectives representing extreme or intense characteristics

    oai_token-act-pair · gpt-3.5-turbo

    intensifying adjectives and phrases that convey strong emotions or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Caption
    -0.85
    ynski
    -0.78
    ries
    -0.67
     Rite
    -0.67
    gemony
    -0.66
     coun
    -0.66
    ©¶æ
    -0.63
    peria
    -0.61
    >[
    -0.61
     Norn
    -0.60
    POSITIVE LOGITS
    ciating
    1.09
    !!!
    0.98
    !!!!
    0.97
    !!!!!
    0.94
    !!
    0.88
     unbeliev
    0.84
    !!!!!!!!
    0.83
    !
    0.82
    !.
    0.82
    aneously
    0.81
    Activations Density 0.412%

    No Known Activations