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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. 10600
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    Explanations

    references to interactions with law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    mentions of police involvement or interactions with police in a narrative context

    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
    bernatorial
    -0.70
     pul
    -0.68
    ocity
    -0.68
    pread
    -0.64
    ãĥ¼ãĤ¯
    -0.63
    ãĥ£
    -0.62
    xtap
    -0.61
    gets
    -0.61
    osi
    -0.60
     paste
    -0.60
    POSITIVE LOGITS
     investigators
    0.87
     informant
    0.83
     examiner
    0.80
     officers
    0.77
     beforehand
    0.77
     authorities
    0.76
     investigator
    0.76
     investigating
    0.74
     probing
    0.69
     detectors
    0.69
    Activations Density 0.130%

    No Known Activations