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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. 8045
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    Explanations

    proper names related to individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    arial
    -0.86
    uate
    -0.79
    inates
    -0.76
    ariat
    -0.75
    istically
    -0.75
    inals
    -0.74
    ion
    -0.73
    ional
    -0.73
    urn
    -0.68
    inally
    -0.68
    POSITIVE LOGITS
    nesday
    1.42
    restling
    0.83
    edge
    0.82
    pole
    0.81
    combe
    0.78
    atts
    0.77
    zel
    0.76
     Rosenberg
    0.74
    atche
    0.74
    bledon
    0.73
    Activations Density 0.097%

    No Known Activations