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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. 2501
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    Explanations

    keywords related to locations or physical places

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "jun" and its variations related to junctions or connections

    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
     Panic
    -0.75
    rek
    -0.71
    ngth
    -0.70
    anamo
    -0.67
    yre
    -0.66
    anyahu
    -0.66
    beit
    -0.64
     Sheen
    -0.63
     famous
    -0.61
     Hobby
    -0.61
    POSITIVE LOGITS
    cture
    1.36
     jun
    1.20
    ctions
    1.02
    iors
    0.97
    eteenth
    0.95
    iper
    0.89
    uary
    0.88
    iet
    0.87
    eties
    0.83
    iatus
    0.83
    Activations Density 0.008%

    No Known Activations