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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. 5065
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    Explanations

    phrases related to website or software functionality

    oai_token-act-pair · gpt-3.5-turbo

    conversational phrases and informal speech patterns

    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
    interstitial
    -0.84
     Retrieved
    -0.70
    grave
    -0.70
    abre
    -0.65
    ãĤ©
    -0.63
    failed
    -0.63
    hurst
    -0.62
    ington
    -0.62
    orio
    -0.61
    URI
    -0.61
    POSITIVE LOGITS
     just
    1.56
     merely
    1.46
    just
    1.37
     simply
    1.34
     Just
    1.30
     JUST
    1.27
    Just
    1.13
     Simply
    1.04
     only
    0.92
     suffice
    0.91
    Activations Density 0.363%

    No Known Activations