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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15877
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    Explanations

    negative statements, specifically those with 'not' or 'did not'

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negation or the absence of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horizont
    -0.68
     proportions
    -0.68
    )=(
    -0.66
     Levels
    -0.63
    tons
    -0.61
    Isn
    -0.61
    you
    -0.60
     Gems
    -0.60
    ERG
    -0.60
    Tank
    -0.59
    POSITIVE LOGITS
     officially
    1.08
     formally
    1.01
     explicitly
    0.97
     necessarily
    0.97
     publicly
    0.95
     definitively
    0.93
     confir
    0.90
    icably
    0.90
     exactly
    0.82
     disclose
    0.82
    Activations Density 0.243%

    No Known Activations