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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. 7304
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    Explanations

    phrases related to potential consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document or a significant break in the text

    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
     mosqu
    -0.72
     traverse
    -0.69
    enture
    -0.66
     inactive
    -0.62
    hers
    -0.61
    Untitled
    -0.61
    onite
    -0.59
    ouses
    -0.57
    odon
    -0.56
    inately
    -0.56
    POSITIVE LOGITS
    yet
    0.74
     CrossRef
    0.71
     Vaj
    0.66
    given
    0.63
     Electoral
    0.62
     Certainly
    0.62
     Prosecut
    0.61
     [/
    0.61
     Suppose
    0.60
     Unless
    0.60
    Activations Density 0.971%

    No Known Activations