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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. 8521
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    Explanations

    action-related phrases involving instructions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future actions or expectations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ocular
    -0.68
    é¾įå¥ij士
    -0.68
    oldemort
    -0.63
     lobb
    -0.60
    uyomi
    -0.60
     traged
    -0.60
     00000000
    -0.60
    gn
    -0.59
     Godzilla
    -0.58
    Haw
    -0.58
    POSITIVE LOGITS
     undoubtedly
    0.91
     notice
    0.88
     doubtless
    0.88
     need
    0.87
     unavoid
    0.84
     probably
    0.84
     ALSO
    0.82
     see
    0.81
     surely
    0.80
     find
    0.78
    Activations Density 0.089%

    No Known Activations