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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. 4-RES-JB
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    Explanations

    mentioning of physical injuries or violence

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term 'bloody' indicating violence or gore

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

    No Comments

    Negative Logits
    PLIED
    -0.88
    Demand
    -0.83
    Reviewer
    -0.80
    anol
    -0.80
    CHAT
    -0.76
    rador
    -0.74
     Instruct
    -0.72
    RAFT
    -0.71
    perm
    -0.71
    Rate
    -0.71
    POSITIVE LOGITS
     bloody
    0.93
     noses
    0.85
     bast
    0.82
     wounds
    0.81
    stained
    0.75
     streaks
    0.74
     prick
    0.73
     slaughter
    0.72
     swath
    0.72
    ãĥ£
    0.71
    Activations Density 0.010%

    No Known Activations