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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. 24394
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    Explanations

    references to hostile actions or environments

    oai_token-act-pair · gpt-3.5-turbo

    references to hostility or hostile entities and environments

    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
    ucket
    -0.91
    orah
    -0.90
    annis
    -0.86
    regon
    -0.84
    illon
    -0.82
    otide
    -0.80
    ulet
    -0.79
    ingham
    -0.79
    obook
    -0.77
    acea
    -0.77
    POSITIVE LOGITS
     takeover
    0.99
     hostile
    0.93
     retaliation
    0.86
    eting
    0.80
     repr
    0.78
     toward
    0.77
     retribution
    0.77
     hostility
    0.76
     Neigh
    0.75
     undermin
    0.75
    Activations Density 0.031%

    No Known Activations