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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. 5007
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    Explanations

    conditional statements discussing potential outcomes based on certain conditions being met

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements related to potential outcomes or consequences

    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
    bil
    -0.73
     bothering
    -0.71
    inately
    -0.70
    arse
    -0.70
    ved
    -0.68
    inn
    -0.66
    nir
    -0.66
    kered
    -0.66
    nai
    -0.64
    Ŀ
    -0.64
    POSITIVE LOGITS
     SHALL
    0.85
    will
    0.75
     disg
    0.70
    would
    0.69
     Shall
    0.69
     Tens
    0.66
     DRAG
    0.66
    shall
    0.65
     barring
    0.65
     will
    0.65
    Activations Density 0.205%

    No Known Activations