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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. 10-RES-JB
    11. 5592
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    Explanations

    features or qualities that are highly suitable or ideal for specific purposes

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases indicating quality or suitability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uthor
    -0.74
     Voices
    -0.65
    jit
    -0.61
    eely
    -0.58
    erity
    -0.58
     Mohammad
    -0.58
     Sons
    -0.58
    Kings
    -0.57
    gemony
    -0.57
     Susan
    -0.57
    POSITIVE LOGITS
     for
    1.06
     suited
    0.99
     standalone
    0.87
     against
    0.87
     because
    0.84
     if
    0.81
     versatile
    0.81
     tool
    0.79
     when
    0.77
     filler
    0.76
    Activations Density 0.211%

    No Known Activations