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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. 12389
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    INDEX
    Explanations

    phrases discussing outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    inquiries about events and their consequences

    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
    mens
    -0.92
    severe
    -0.74
    cius
    -0.73
    hart
    -0.72
    ature
    -0.71
    gart
    -0.70
    bors
    -0.69
    obo
    -0.68
    ways
    -0.68
    ierre
    -0.67
    POSITIVE LOGITS
     transpired
    0.91
     happen
    0.84
     Happ
    0.84
     unfold
    0.82
     happening
    0.80
     unfolding
    0.79
     wrong
    0.75
     Caller
    0.74
     happened
    0.74
    uate
    0.73
    Activations Density 0.031%

    No Known Activations