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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. 8-RES-JB
    11. 616
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    INDEX
    Explanations

    phrases related to causality, specifically actions leading to consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or influence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Begin
    -0.65
     Tub
    -0.63
     Kal
    -0.62
     Else
    -0.61
    alty
    -0.61
     Tacoma
    -0.60
    ilion
    -0.60
     Kirin
    -0.60
     Beaver
    -0.59
     Tall
    -0.59
    POSITIVE LOGITS
    SPONSORED
    0.83
     incentiv
    0.78
    ucing
    0.70
    catentry
    0.70
    udes
    0.69
    uced
    0.68
    ãĥł
    0.68
    demand
    0.68
    ãĥĥ
    0.67
    EngineDebug
    0.67
    Activations Density 0.035%

    No Known Activations