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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. 6813
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    Explanations

    phrases related to probability and likelihood

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to likelihood or probabilities of events occurring

    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
    venue
    -0.77
    aration
    -0.73
    andals
    -0.66
     reconc
    -0.66
    arations
    -0.65
     Ago
    -0.61
    ame
    -0.61
    ãĤº
    -0.60
    aviour
    -0.59
     slang
    -0.59
    POSITIVE LOGITS
     slim
    1.38
     remote
    1.00
     astron
    0.98
     vanishing
    0.96
     dim
    0.94
     nil
    0.93
     dwindling
    0.89
     exceedingly
    0.89
     low
    0.82
     nonexistent
    0.81
    Activations Density 0.125%

    No Known Activations