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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. 8-RES-JB
    11. 8091
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    Explanations

    mentions of violent actions such as shootings and warfare

    oai_token-act-pair · gpt-3.5-turbo

    incidents involving gunfire or shooting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hoe
    -0.69
    orney
    -0.64
    opa
    -0.59
    alf
    -0.58
     ease
    -0.56
     lifetime
    -0.55
     negatives
    -0.53
    iago
    -0.53
    otine
    -0.53
     Greenwich
    -0.53
    POSITIVE LOGITS
     anew
    0.88
    Film
    0.74
     with
    0.72
    aciously
    0.72
     peacefully
    0.72
    §
    0.66
    ð
    0.66
    Credits
    0.65
    Sham
    0.65
    waves
    0.65
    Activations Density 0.234%

    No Known Activations