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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. 20975
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a desire to receive feedback or opinions

    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
    PHOTOS
    -0.73
    wra
    -0.69
    inals
    -0.66
    apo
    -0.66
    prime
    -0.65
    Prime
    -0.65
    uably
    -0.64
    si
    -0.64
    export
    -0.64
    orp
    -0.64
    POSITIVE LOGITS
     voices
    0.95
     Heard
    0.91
     hear
    0.90
     hearing
    0.89
     Hear
    0.84
     heard
    0.81
     Hearing
    0.75
    eport
    0.73
     ear
    0.71
    grass
    0.71
    Activations Density 0.030%

    No Known Activations