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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. 9699
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    Explanations

    time-related references, such as durations and deadlines

    oai_token-act-pair · gpt-3.5-turbo
    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
    wcsstore
    -0.91
    pecially
    -0.79
    cult
    -0.76
    tnc
    -0.76
    apes
    -0.74
    Reviewer
    -0.72
    elled
    -0.72
    SourceFile
    -0.72
    bed
    -0.71
    ©¶æ
    -0.70
    POSITIVE LOGITS
     elapsed
    0.76
     countdown
    0.72
     prepar
    0.72
     Lumpur
    0.68
    ORY
    0.68
     undecided
    0.65
     Elections
    0.65
     approaching
    0.64
     unresolved
    0.63
     allotted
    0.63
    Activations Density 0.083%

    No Known Activations