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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. 6-RES-JB
    11. 15419
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    Explanations

    proper nouns or names containing 'Re' followed by a combination of characters for various entities (e.g. people, companies, products)

    oai_token-act-pair · gpt-3.5-turbo

    names of specific individuals and organizations

    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
    ashtra
    -0.77
    »Ĵ
    -0.71
    ulhu
    -0.69
    acca
    -0.63
    Weather
    -0.60
     Nadu
    -0.59
    ã
    -0.57
    Bir
    -0.57
    rosso
    -0.57
    oglu
    -0.56
    POSITIVE LOGITS
    itory
    0.90
    issance
    0.89
    burse
    0.82
    earch
    0.81
    otiation
    0.77
    ndum
    0.77
     Priebus
    0.76
    irmation
    0.73
    stown
    0.72
    naissance
    0.70
    Activations Density 0.081%

    No Known Activations