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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. 5064
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    Explanations

    phrases indicating detailed descriptions or specifications

    oai_token-act-pair · gpt-3.5-turbo

    the word "are" along with other phrases indicating descriptions or details

    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
    lihood
    -0.75
    iance
    -0.74
    psc
    -0.71
    orsi
    -0.70
    ority
    -0.68
    idence
    -0.64
    move
    -0.63
    ãĤº
    -0.63
    plet
    -0.61
    mson
    -0.61
    POSITIVE LOGITS
     summarized
    1.13
     outlined
    1.13
     murky
    0.95
     manifold
    0.95
     listed
    0.95
     unclear
    0.93
     discussed
    0.92
     described
    0.90
     spelled
    0.89
     contained
    0.86
    Activations Density 0.138%

    No Known Activations