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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. 2-RES-JB
    11. 11253
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    Explanations

    negative behavior or actions related to aggression and intimidation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative character traits and harmful behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeda
    -0.93
    undai
    -0.91
    itures
    -0.87
    aline
    -0.84
    arbon
    -0.84
    ilver
    -0.84
    earchers
    -0.83
    rive
    -0.83
    cession
    -0.80
    perature
    -0.80
    POSITIVE LOGITS
     bullies
    1.07
     bully
    1.07
     pul
    0.91
     negotiator
    0.79
     thug
    0.79
     Robbie
    0.76
     trophy
    0.75
    boys
    0.73
     pim
    0.73
     guts
    0.72
    Activations Density 0.018%

    No Known Activations