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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. 6-RES-JB
    11. 8016
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    Explanations

    verbs related to actions that have a negative impact or intent

    oai_token-act-pair · gpt-3.5-turbo

    activites or phrases suggesting subversion or damage to credibility or authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    area
    -0.65
    cise
    -0.64
    onna
    -0.63
    ëĭ
    -0.63
    sa
    -0.61
    lov
    -0.61
    Flo
    -0.61
    ather
    -0.60
    enne
    -0.59
    ann
    -0.59
    POSITIVE LOGITS
     havoc
    0.89
     undermin
    0.81
    lessly
    0.70
    xual
    0.70
     undermining
    0.68
    amental
    0.67
    ments
    0.66
     livelihood
    0.66
     morale
    0.64
     Mn
    0.64
    Activations Density 0.044%

    No Known Activations