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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. 10-RES-JB
    6. 17575
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    Explanations

    mentions or occurrences of police involvement in incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of police or law enforcement activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bernatorial
    -0.90
    ocene
    -0.73
    ggles
    -0.64
    osi
    -0.64
    pub
    -0.61
     Chamber
    -0.61
     vetoed
    -0.59
    yip
    -0.59
    gets
    -0.59
    Wo
    -0.59
    POSITIVE LOGITS
     officers
    1.04
     investigators
    1.00
     detectives
    0.98
     investigating
    0.89
     Detect
    0.85
    Officers
    0.85
     Constable
    0.83
     Officers
    0.83
     Investigators
    0.82
     detective
    0.81
    Activations Density 0.076%

    No Known Activations