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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. 9-RES-JB
    6. 21968
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    INDEX
    Explanations

    proper nouns or people's names in relation to actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions taken against an individual or character judgments about them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zbollah
    -0.86
    anguage
    -0.65
    ses
    -0.58
    £ı
    -0.53
    okia
    -0.53
    opoly
    -0.53
     neigh
    -0.53
     teasp
    -0.52
     unpop
    -0.52
    pora
    -0.52
    POSITIVE LOGITS
     him
    2.27
    him
    1.64
     HIM
    1.46
     Him
    1.28
    He
    0.83
     his
    0.83
    essor
    0.81
    His
    0.80
     he
    0.79
    his
    0.79
    Activations Density 1.153%

    No Known Activations