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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. 2226
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    Explanations

    references to specific locations within buildings or geographic areas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations or geographical features

    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
     DEAD
    -0.68
     FANT
    -0.64
     âĢº
    -0.61
    ↵Âł
    -0.59
    =>
    -0.59
     »
    -0.58
    ¶
    -0.57
     WHEN
    -0.57
     LIKE
    -0.56
    %"
    -0.56
    POSITIVE LOGITS
     respectively
    0.93
     thereof
    0.82
     thereafter
    0.79
     respective
    0.72
     thereto
    0.69
     both
    0.65
     likewise
    0.64
    both
    0.63
     subsequent
    0.63
     therein
    0.63
    Activations Density 0.422%

    No Known Activations