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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. 11-RES-JB
    11. 24081
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    Explanations

    violent actions or events involving harm or death

    oai_token-act-pair · gpt-3.5-turbo

    incidents involving violent or fatal events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.98
    eworld
    -0.82
    tions
    -0.82
    soDeliveryDate
    -0.81
    utical
    -0.81
    ographies
    -0.78
    parency
    -0.77
    names
    -0.77
    ainment
    -0.77
     accomplishments
    -0.76
    POSITIVE LOGITS
     assailant
    1.12
     stray
    1.10
     gunman
    1.07
     assailants
    1.06
     gunfire
    1.06
     mob
    0.95
    andals
    0.94
     roadside
    0.92
     intruder
    0.92
     careless
    0.89
    Activations Density 0.244%

    No Known Activations