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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. 0-RES-JB
    11. 12876
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'H'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.77
    Interstitial
    -0.69
    qt
    -0.65
     sovere
    -0.63
    vg
    -0.63
    xa
    -0.63
     occas
    -0.62
    tarian
    -0.59
    ply
    -0.58
    iture
    -0.58
    POSITIVE LOGITS
     H
    2.99
    H
    2.03
     h
    1.54
     HO
    1.40
     HW
    1.35
     Ha
    1.29
     Ho
    1.28
     HA
    1.25
    h
    1.22
     HG
    1.21
    Activations Density 0.039%

    No Known Activations