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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. 3-RES-JB
    11. 4046
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    Explanations

    phrases related to cause and effect, specifically emphasizing the result of an action or event

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "resulted" and related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ickr
    -0.87
     vulner
    -0.72
    horn
    -0.70
    anners
    -0.69
    heit
    -0.67
    ickets
    -0.64
     secrets
    -0.62
    soDeliveryDate
    -0.61
     minded
    -0.61
    outer
    -0.60
    POSITIVE LOGITS
     subtract
    0.71
    aez
    0.69
    ãĥ¯
    0.67
    lehem
    0.66
     Defeat
    0.65
    æĪ¦
    0.64
    ãĥĦ
    0.63
     Reck
    0.63
    ERO
    0.61
    =~
    0.59
    Activations Density 0.180%

    No Known Activations