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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. 9-RES-JB
    11. 24208
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    Explanations

    phrases related to requirements and initiatives

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to the requirements for success and engagement in various contexts, particularly in education and governance

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rolled
    -0.77
    ãĥĩ
    -0.76
    tip
    -0.75
    oqu
    -0.74
    alde
    -0.70
    USD
    -0.69
    JP
    -0.67
    morning
    -0.67
    tips
    -0.64
    Sort
    -0.64
    POSITIVE LOGITS
     compromises
    0.82
     acknowledging
    0.76
     somehow
    0.75
     respecting
    0.74
     fundamentally
    0.74
     KNOW
    0.74
     overcoming
    0.71
     sufficiently
    0.71
     guts
    0.70
     transcend
    0.70
    Activations Density 0.311%

    No Known Activations