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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. 7-RES-JB
    11. 11454
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    Explanations

    references to individuals, organizations, or products being highlighted or prominently displayed

    oai_token-act-pair · gpt-3.5-turbo

    instances of being showcased or highlighted in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sis
    -0.80
    alty
    -0.76
    uth
    -0.70
    ça
    -0.69
    ignt
    -0.66
    ugu
    -0.65
    umi
    -0.64
    thur
    -0.64
    hiba
    -0.63
    usra
    -0.61
    POSITIVE LOGITS
     prominently
    1.43
    pages
    0.86
    Feature
    0.81
    Featured
    0.78
    icles
    0.77
    leck
    0.76
    arget
    0.75
     Include
    0.74
    ttes
    0.73
    icle
    0.71
    Activations Density 0.045%

    No Known Activations