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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. 9-RES-JB
    11. 6162
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    Explanations

    phrases conveying the idea of something being unlikely to happen or to be successful

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing improbability or unlikelihood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.89
    tein
    -0.84
    illation
    -0.78
    oola
    -0.77
    bern
    -0.76
    umenthal
    -0.74
    ription
    -0.73
    arthy
    -0.71
    arling
    -0.70
    cience
    -0.69
    POSITIVE LOGITS
     ever
    0.94
     anything
    0.86
     anymore
    0.83
    theless
    0.83
     coincidence
    0.75
     EVER
    0.75
     anyone
    0.74
     any
    0.73
    icably
    0.72
     whatsoever
    0.71
    Activations Density 0.037%

    No Known Activations