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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. 9-RES-JB
    11. 8797
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    Explanations

    words related to negative words describing verbal attacks or criticisms, such as "slander," "insults," and "attacks."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hostile criticism and derogatory remarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.79
     Wonders
    -0.77
    natureconservancy
    -0.70
     Suc
    -0.68
    aple
    -0.64
    itness
    -0.63
    ECK
    -0.62
     Continental
    -0.60
     Prototype
    -0.60
     Alive
    -0.60
    POSITIVE LOGITS
     hurled
    1.26
     leveled
    1.23
     levied
    1.18
     directed
    1.11
     against
    1.05
     slurs
    1.04
     accusing
    1.04
     leve
    1.01
     slander
    0.97
     vitri
    0.96
    Activations Density 0.239%

    No Known Activations