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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. 9-RES-JB
    11. 24080
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    INDEX
    Explanations

    phrases related to criminal events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of victims and individuals involved in incidents

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    raltar
    -0.72
    actionDate
    -0.66
    Lens
    -0.62
    lighting
    -0.62
    izoph
    -0.59
    aeda
    -0.59
    Companies
    -0.59
    çķ
    -0.58
     Topics
    -0.58
    ween
    -0.58
    POSITIVE LOGITS
     testified
    0.89
    's
    0.87
     complained
    0.86
     awoke
    0.85
     screamed
    0.84
     smelled
    0.83
     pleaded
    0.83
     suffered
    0.82
     resisted
    0.81
     survived
    0.81
    Activations Density 0.194%

    No Known Activations