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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. 4-RES-JB
    11. 10836
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    Explanations

    specific entities or topics that are under discussion or consideration

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "in question," indicating topics or subjects being discussed or referenced

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

    No Comments

    Negative Logits
    ccording
    -0.82
    ramid
    -0.81
    alty
    -0.78
    yip
    -0.77
    rush
    -0.77
    ufact
    -0.76
    oiler
    -0.75
     corrid
    -0.72
    ortunately
    -0.72
    ritical
    -0.72
    POSITIVE LOGITS
    naires
    1.41
    naire
    0.92
     marks
    0.69
     Shinra
    0.68
    _>
    0.67
     mark
    0.65
     wording
    0.64
     Pis
    0.61
     Ans
    0.59
     Inquiry
    0.58
    Activations Density 0.020%

    No Known Activations