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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. 21351
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    Explanations

    mentions of specific individuals in a context related to sports or activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of proper nouns or specific entities

    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
    bilt
    -0.84
    TAG
    -0.74
    ographed
    -0.67
    angular
    -0.66
    liest
    -0.66
     dreaded
    -0.63
    drawn
    -0.59
    NECT
    -0.59
     Sinn
    -0.59
    ROR
    -0.58
    POSITIVE LOGITS
    ktop
    0.81
    utsche
    0.76
    abase
    0.75
    onga
    0.73
    yu
    0.72
    hack
    0.68
    ilib
    0.67
    endas
    0.67
    aru
    0.66
    ushi
    0.65
    Activations Density 0.230%

    No Known Activations