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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. 11023
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ternity
    -0.80
    ses
    -0.78
    sett
    -0.78
    inately
    -0.77
    respond
    -0.76
    chi
    -0.76
    OPE
    -0.75
    iott
    -0.74
    oola
    -0.73
    eva
    -0.73
    POSITIVE LOGITS
     spree
    0.90
     ceremony
    0.79
    redients
    0.77
    tons
    0.75
     ceremonies
    0.72
     thereof
    0.70
     underscore
    0.70
     ability
    0.68
    bird
    0.66
     straw
    0.66
    Activations Density 0.107%

    No Known Activations