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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. 11-RES-JB
    11. 9168
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    Explanations

    phrases related to statements in written text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "reads" or its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    responsible
    -0.62
    sin
    -0.62
    anu
    -0.60
    dp
    -0.59
    angular
    -0.56
    unity
    -0.56
    culture
    -0.56
    aird
    -0.55
    hedral
    -0.55
    icans
    -0.55
    POSITIVE LOGITS
     aloud
    1.23
     omin
    1.01
     plainly
    0.85
    emphasis
    0.84
     bluntly
    0.75
    ellig
    0.74
     like
    0.73
    :]
    0.72
    :'
    0.72
     prominently
    0.71
    Activations Density 0.032%

    No Known Activations