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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. 6-RES-JB
    11. 4397
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    Explanations

    words related to neglect, negligence, or being neglectful

    oai_token-act-pair · gpt-3.5-turbo

    references to neglect and negligence

    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
    areth
    -0.73
    soType
    -0.72
    Hour
    -0.66
     injunction
    -0.64
    onym
    -0.64
    Alias
    -0.62
     VIDE
    -0.62
    ¯¯¯¯¯¯¯¯
    -0.61
     Hitman
    -0.61
    berman
    -0.60
    POSITIVE LOGITS
    ful
    1.01
    fully
    0.97
    fulness
    0.88
    luster
    0.86
    icit
    0.81
    lect
    0.79
    shire
    0.79
    FUL
    0.79
    reatment
    0.75
    uously
    0.72
    Activations Density 0.031%

    No Known Activations