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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. 7463
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    Explanations

    phrases related to the publication of content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "published" and related forms

    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
    xa
    -0.76
    poke
    -0.73
    bones
    -0.73
    ugh
    -0.71
    FX
    -0.71
    aura
    -0.70
    enez
    -0.70
    mer
    -0.70
    phant
    -0.68
    Ĭ±
    -0.67
    POSITIVE LOGITS
    lishing
    1.15
     excerpts
    1.00
    lisher
    0.93
    lishes
    0.90
     anonymously
    0.85
     journals
    0.80
     journal
    0.79
     pamph
    0.78
     articles
    0.77
     publication
    0.74
    Activations Density 0.060%

    No Known Activations