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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. 21642
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    INDEX
    Explanations

    references to planning or intending to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating plans or intentions

    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
    ACT
    -0.76
    sworth
    -0.74
    chin
    -0.69
    Pac
    -0.68
    ï¸ı
    -0.67
    BAT
    -0.67
    wine
    -0.67
    SUP
    -0.67
    ESA
    -0.66
    Mine
    -0.66
    POSITIVE LOGITS
     preserving
    1.06
     keeping
    1.01
     sticking
    0.95
     retaining
    0.95
     maintaining
    0.93
     behalf
    0.93
     staying
    0.92
     delivering
    0.90
     acquiring
    0.90
     eliminating
    0.89
    Activations Density 0.054%

    No Known Activations