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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. 7-RES-JB
    11. 4390
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    Explanations

    phrases related to actions or decisions that need to be taken

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions that require effort or decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Downloadha
    -0.72
    alde
    -0.70
    ¥µ
    -0.67
    luaj
    -0.67
    gnu
    -0.65
     Holo
    -0.63
     Emerging
    -0.63
    MpServer
    -0.63
    AAA
    -0.62
    unin
    -0.60
    POSITIVE LOGITS
     manually
    0.83
     somewhere
    0.82
     oneself
    0.80
    escription
    0.76
    dress
    0.74
     urgently
    0.74
     ASAP
    0.73
     reckon
    0.69
     something
    0.68
     lengths
    0.67
    Activations Density 0.280%

    No Known Activations