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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. 3774
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    references to names or titles associated with events or organizations

    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
    ually
    -0.73
    ween
    -0.66
    ItemThumbnailImage
    -0.66
    ional
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    ION
    -0.64
     Niet
    -0.63
    ion
    -0.62
    âĸ¬
    -0.61
    Else
    -0.60
    iege
    -0.59
    POSITIVE LOGITS
    llan
    1.11
    astern
    0.87
    nesday
    0.85
    tta
    0.82
    aways
    0.79
    tails
    0.78
    llo
    0.77
    illance
    0.75
    gypt
    0.73
    ayne
    0.72
    Activations Density 0.030%

    No Known Activations