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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

    phrases describing criminal activities and law enforcement actions

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement and their actions

    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
     Patreon
    -0.76
     Vox
    -0.75
    Romney
    -0.72
    billion
    -0.71
     NAFTA
    -0.70
    TPP
    -0.67
     TPP
    -0.66
     billion
    -0.64
    âĺħ
    -0.64
    Song
    -0.64
    POSITIVE LOGITS
     officers
    0.99
     officer
    0.96
     sergeant
    0.95
     detectives
    0.93
     confir
    0.92
     investigator
    0.91
     suspects
    0.87
     dispatcher
    0.87
     informant
    0.86
     detective
    0.85
    Activations Density 0.243%

    No Known Activations