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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. 1-RES-JB
    11. 7651
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    Explanations

    words related to negative or harmful actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms that convey the concept of destruction or harmful effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ordan
    -0.85
    orne
    -0.83
    ETF
    -0.79
    roma
    -0.74
    Introduced
    -0.69
    Whe
    -0.69
    Bitcoin
    -0.68
     Leilan
    -0.68
    nee
    -0.67
    along
    -0.67
    POSITIVE LOGITS
     destructive
    1.15
     destruct
    0.87
     warheads
    0.86
     force
    0.85
     havoc
    0.83
     endanger
    0.82
     impulses
    0.82
     tendencies
    0.81
    ãĥ¼ãĥĨ
    0.81
     exha
    0.78
    Activations Density 0.009%

    No Known Activations