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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. 6-RES-JB
    11. 5529
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    Explanations

    references to the "Beatitudes" from religious texts

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Beat" and its variations, particularly in contexts related to music and pop culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asel
    -0.75
    OPLE
    -0.74
    OTE
    -0.73
     mosqu
    -0.72
    ateral
    -0.71
    anyon
    -0.66
    assetsadobe
    -0.65
     Strat
    -0.64
     Bei
    -0.64
     dams
    -0.63
    POSITIVE LOGITS
    beat
    1.23
    rix
    1.20
    rice
    1.18
    down
    1.06
    riz
    1.03
    nik
    0.99
    tle
    0.98
    boxing
    0.96
    downs
    0.94
    sticks
    0.90
    Activations Density 0.022%

    No Known Activations