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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. 9-RES-JB
    11. 18137
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    Explanations

    descriptions of scenarios involving multiple people or entities and their interactions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making decisions or solving problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azeera
    -0.77
    zag
    -0.75
     hars
    -0.69
    ouble
    -0.69
     emph
    -0.68
     fullest
    -0.65
    olit
    -0.65
    stre
    -0.64
    ihil
    -0.63
    Enh
    -0.62
    POSITIVE LOGITS
     suddenly
    1.16
     Suddenly
    1.08
     THEN
    1.07
    Suddenly
    0.91
     Suppose
    0.91
    uddenly
    0.86
     decides
    0.86
     somebody
    0.85
     Then
    0.85
     THEY
    0.84
    Activations Density 0.520%

    No Known Activations