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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. 19643
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    Explanations

    phrases indicating a cause-and-effect relationship

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causes and effects or consequences

    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
    utenberg
    -0.67
    ategories
    -0.63
    anchester
    -0.60
    tty
    -0.57
    ounding
    -0.56
    ufact
    -0.56
     kindred
    -0.55
    essen
    -0.55
     Week
    -0.55
    jab
    -0.54
    POSITIVE LOGITS
     thereafter
    0.87
     onwards
    0.80
     they
    0.79
     there
    0.79
     nobody
    0.74
     THERE
    0.72
    forth
    0.71
     thereof
    0.71
     we
    0.69
     it
    0.68
    Activations Density 0.259%

    No Known Activations