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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. 11123
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    Explanations

    instances of specific names or terms followed by information or context

    oai_token-act-pair · gpt-3.5-turbo

    repeated characters or symbols, specifically variations of 'L'

    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
     mathemat
    -0.86
     disadvant
    -0.86
     vulner
    -0.81
     unnecess
    -0.77
    enegger
    -0.76
     accomp
    -0.74
     occas
    -0.72
     inval
    -0.70
     elig
    -0.69
     logger
    -0.69
    POSITIVE LOGITS
    ï¸ı
    1.15
    idate
    0.81
    ence
    0.81
    ship
    0.80
    sure
    0.80
    ution
    0.78
    sic
    0.78
    minecraft
    0.76
    unity
    0.75
    own
    0.75
    Activations Density 0.057%

    No Known Activations