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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. 9-RES-JB
    11. 22382
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    Explanations

    words related to actions and behaviors

    oai_token-act-pair · gpt-3.5-turbo

    references to actions and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bid
    -0.80
    skinned
    -0.70
    orf
    -0.69
    ļéĨĴ
    -0.67
    rition
    -0.67
    alg
    -0.66
    vu
    -0.64
    owship
    -0.64
     Mobility
    -0.63
    ixed
    -0.63
    POSITIVE LOGITS
    uate
    0.91
     toward
    0.91
     towards
    0.86
     actions
    0.83
     provoking
    0.81
     provoke
    0.80
    terday
    0.80
     belie
    0.79
     undertaken
    0.78
     betray
    0.77
    Activations Density 0.119%

    No Known Activations