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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. 1-RES-JB
    11. 8910
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    Explanations

    occurrences of the word "hell"

    oai_token-act-pair · gpt-3.5-turbo

    references to hell or related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.84
    NRS
    -0.76
    âĸº
    -0.68
     Proposition
    -0.67
    abet
    -0.66
    GP
    -0.65
    Recomm
    -0.64
    ª
    -0.64
    Marginal
    -0.64
    States
    -0.62
    POSITIVE LOGITS
    hell
    1.23
    enic
    1.07
    terday
    0.95
    enium
    0.93
    worms
    0.90
    otaur
    0.87
    ipop
    0.86
    enger
    0.83
    bender
    0.83
    shell
    0.83
    Activations Density 0.004%

    No Known Activations