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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. 6-RES-JB
    11. 12039
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    Explanations

    phrases related to different actions or events in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    negations or terms related to denial and the impact of various factors on situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.70
    onnaissance
    -0.68
     Sud
    -0.64
    IZE
    -0.64
    stellar
    -0.63
    Ur
    -0.62
     Lud
    -0.62
    selage
    -0.62
    hin
    -0.62
     successors
    -0.61
    POSITIVE LOGITS
     inherently
    0.79
    MODE
    0.77
    Ń·
    0.76
     perme
    0.74
     decriminal
    0.73
     compulsory
    0.72
     traditionally
    0.72
     abound
    0.71
     perv
    0.70
     trump
    0.69
    Activations Density 0.609%

    No Known Activations