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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. 5404
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    Explanations

    italicize words related to negative connotations or criminal activity

    oai_token-act-pair · gpt-3.5-turbo

    terms that describe widely recognized negative reputations

    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
    vet
    -0.74
    ynthesis
    -0.73
    tein
    -0.73
    utral
    -0.71
    adra
    -0.71
    eding
    -0.71
    bernatorial
    -0.69
    hm
    -0.69
    pei
    -0.69
    vere
    -0.69
    POSITIVE LOGITS
     infamous
    0.98
     notorious
    0.93
     nickname
    0.80
     culprit
    0.75
     controversial
    0.71
     dictator
    0.70
     offender
    0.70
     derogatory
    0.69
     misinformation
    0.68
     notor
    0.67
    Activations Density 0.013%

    No Known Activations