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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. 12320
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    Explanations

    text related to negative comments or remarks about others

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disparagement and criticism

    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
    aer
    -0.85
    scope
    -0.76
    ascript
    -0.75
    arez
    -0.73
    rote
    -0.70
    oret
    -0.65
    ynthesis
    -0.65
     composing
    -0.65
    kj
    -0.64
    aldo
    -0.64
    POSITIVE LOGITS
     slurs
    1.10
     insults
    0.99
     stereotypes
    0.91
     insulting
    0.88
     disrespect
    0.85
     insulted
    0.83
    uous
    0.80
     remarks
    0.80
    hovah
    0.80
     caric
    0.79
    Activations Density 0.196%

    No Known Activations