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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. 8156
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    terms related to decision-making processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decision-making processes

    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
    Versions
    -0.66
    acements
    -0.65
    ingers
    -0.65
    icas
    -0.64
    anti
    -0.64
    antis
    -0.62
    vae
    -0.61
    ranch
    -0.60
    Æ
    -0.60
    ubric
    -0.60
    POSITIVE LOGITS
     makers
    1.10
     maker
    1.03
    making
    0.99
    maker
    0.90
    makers
    0.82
    abl
    0.81
    axe
    0.77
     making
    0.77
     paralysis
    0.77
     regarding
    0.75
    Activations Density 0.046%

    No Known Activations