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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6806
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    Explanations

    photo-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to photographs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensable
    -0.88
    ricular
    -0.80
    phasis
    -0.74
    inence
    -0.72
    ressive
    -0.72
    ulhu
    -0.72
    cair
    -0.72
    merce
    -0.72
    hurst
    -0.68
    avanaugh
    -0.68
    POSITIVE LOGITS
    journal
    1.17
    ynthesis
    1.11
    >>>>>>>>
    0.97
    photos
    0.96
    electric
    0.91
     shoots
    0.90
     illustration
    0.90
     shoot
    0.89
     ops
    0.85
    ynt
    0.85
    Activations Density 0.036%

    No Known Activations