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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. 3998
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    Explanations

    technical terms or conditions commonly found in legal context

    oai_token-act-pair · gpt-3.5-turbo

    patterns of contrast and conditions in statements

    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
    oward
    -0.79
    ivating
    -0.76
    gered
    -0.70
    ibr
    -0.70
    vent
    -0.69
    isse
    -0.69
    quished
    -0.68
    zel
    -0.66
    itors
    -0.64
    ukong
    -0.63
    POSITIVE LOGITS
     excludes
    0.86
     ignores
    0.80
     secondly
    0.80
     whereas
    0.74
     meaningless
    0.71
     hence
    0.70
     nonex
    0.68
     insignificant
    0.67
    nor
    0.67
     devoid
    0.67
    Activations Density 0.574%

    No Known Activations