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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. 2764
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    Explanations

    contractions of the words 'should' and 'not'

    oai_token-act-pair · gpt-3.5-turbo

    negative expressions about what actions "shouldn't" occur

    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
     classification
    -0.63
     PU
    -0.62
     KS
    -0.61
     guided
    -0.61
     generation
    -0.60
     Published
    -0.59
     lineage
    -0.58
     delivery
    -0.56
     Letter
    -0.56
     mailing
    -0.56
    POSITIVE LOGITS
    't
    1.39
    n
    0.98
    ned
    0.93
    ny
    0.90
    \'
    0.85
    atal
    0.84
    itely
    0.83
    inqu
    0.82
    itial
    0.79
    ÃŃ
    0.78
    Activations Density 0.009%

    No Known Activations