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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. 8-RES-JB
    11. 14903
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    Explanations

    words related to negative or morally reprehensible actions or behavior

    oai_token-act-pair · gpt-3.5-turbo

    expressions of severe disapproval or disgust

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.91
     Abyss
    -0.74
    ERY
    -0.71
     Cage
    -0.70
     Coalition
    -0.66
     Leap
    -0.65
    ggle
    -0.65
     Bruins
    -0.64
     Ducks
    -0.64
    ties
    -0.63
    POSITIVE LOGITS
    utations
    1.47
    ulsive
    1.29
    rehensible
    1.25
    ublic
    1.23
    rieve
    1.19
    uted
    1.19
    orters
    1.18
    ressed
    1.17
    rint
    1.17
    ublished
    1.15
    Activations Density 0.019%

    No Known Activations