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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. 9-RES-JB
    11. 23812
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    Explanations

    proper nouns related to nominations or specific mentions of names

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "nominee."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -0.72
     dred
    -0.68
    OHN
    -0.67
    #$
    -0.66
     Hebdo
    -0.65
    UCT
    -0.63
    ++++++++
    -0.62
    Priv
    -0.62
    ++++
    -0.62
    raq
    -0.62
    POSITIVE LOGITS
    inally
    1.39
    adic
    1.23
    inal
    1.15
    inates
    1.14
    acent
    1.09
    ose
    1.07
    inals
    1.05
    inate
    1.02
    ads
    1.00
    nom
    0.99
    Activations Density 0.055%

    No Known Activations