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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. 3-RES-JB
    11. 6502
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    Explanations

    proper nouns ending in 'y'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'y'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.80
     Examiner
    -0.79
    insula
    -0.78
    itures
    -0.70
     PowerPoint
    -0.68
     vou
    -0.66
    ãĥ¯
    -0.65
     FEMA
    -0.64
     Inquis
    -0.63
    bernatorial
    -0.63
    POSITIVE LOGITS
    ield
    1.05
    ielding
    1.03
    ank
    0.94
    aku
    0.91
    Å«
    0.89
    unk
    0.83
    ikes
    0.83
    aky
    0.81
    mbol
    0.78
    uns
    0.78
    Activations Density 0.050%

    No Known Activations