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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. 11-RES-JB
    11. 4993
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    Explanations

    mentions of security guards and beliefs in a story

    oai_token-act-pair · gpt-3.5-turbo

    mentions of security personnel and government actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igm
    -0.67
     attm
    -0.67
    USS
    -0.63
    igmatic
    -0.63
    ãĥĥãĥī
    -0.63
    NAS
    -0.62
     Fellow
    -0.59
    ãĥĩãĤ£
    -0.59
     Founding
    -0.59
    Ñı
    -0.58
    POSITIVE LOGITS
     confiscated
    0.93
     reprim
    0.89
     treated
    0.88
     pressured
    0.88
     treat
    0.87
     punish
    0.87
     bullied
    0.87
     disappro
    0.86
     pressuring
    0.86
     forbid
    0.86
    Activations Density 0.529%

    No Known Activations