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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. 18503
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    INDEX
    Explanations

    phrases related to causation or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or 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
    atoes
    -0.68
    afort
    -0.67
    terday
    -0.65
    rehens
    -0.64
    schild
    -0.61
    orkshire
    -0.61
    eon
    -0.61
    thy
    -0.60
    aves
    -0.60
    cube
    -0.59
    POSITIVE LOGITS
    gers
    0.88
    better
    0.81
    wcs
    0.77
    ãĥĥãĥī
    0.72
    Īè
    0.71
    lead
    0.69
    hole
    0.67
    chain
    0.67
     Prompt
    0.66
     prompt
    0.66
    Activations Density 0.034%

    No Known Activations