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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. 0-RES-JB
    11. 9912
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    Explanations

    mentions of syndicates or organizations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to organized crime and anthrax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aber
    -0.76
     Cohn
    -0.73
    izens
    -0.72
    izen
    -0.72
     dri
    -0.67
     Kear
    -0.67
     Macron
    -0.66
    gars
    -0.65
     Gram
    -0.64
     learners
    -0.64
    POSITIVE LOGITS
     anth
    1.90
     Terror
    1.79
     synd
    1.79
     Anth
    1.75
     TNT
    1.74
    Anth
    1.68
     Synd
    1.57
     Syndicate
    1.55
     CW
    1.27
    Sy
    1.26
    Activations Density 0.026%

    No Known Activations