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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. 15466
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    Explanations

    the word 'fact'

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "in fact"

    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
    bye
    -0.66
    lain
    -0.64
     Klux
    -0.63
    jug
    -0.62
    ves
    -0.60
    hold
    -0.60
     lungs
    -0.60
    eded
    -0.60
     powd
    -0.59
     anx
    -0.59
    POSITIVE LOGITS
    ional
    0.92
    olkien
    0.81
    REP
    0.76
    ournals
    0.75
    renheit
    0.71
    uracy
    0.71
    herty
    0.71
    OGR
    0.70
    urus
    0.68
    andise
    0.68
    Activations Density 0.018%

    No Known Activations