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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18957
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    Explanations

    descriptions related to violent or aggressive actions involving people

    oai_token-act-pair · gpt-3.5-turbo

    instances of conflict or aggression

    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
     must
    -0.57
    weapons
    -0.55
    ottesville
    -0.53
     shalt
    -0.52
     VIDEOS
    -0.52
    esity
    -0.51
    ipation
    -0.51
    must
    -0.50
     vs
    -0.50
     reversal
    -0.50
    POSITIVE LOGITS
     whom
    0.74
    omever
    0.71
     creditors
    0.68
     bidder
    0.68
    ishers
    0.65
     who
    0.64
     disgruntled
    0.64
    ãĤ¢ãĥ«
    0.63
     Shap
    0.62
     onlook
    0.61
    Activations Density 0.997%

    No Known Activations