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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7958
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    INDEX
    Explanations

    verbs expressing mental or emotional states

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to inquiry and assertion

    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
     gonna
    -0.81
     wont
    -0.70
    quickShipAvailable
    -0.68
     To
    -0.68
     teasp
    -0.64
    To
    -0.63
    Avg
    -0.62
     gotta
    -0.62
     sqor
    -0.61
     Going
    -0.60
    POSITIVE LOGITS
    uate
    1.00
    enance
    0.97
    dress
    0.83
    atively
    0.71
    ilial
    0.65
    ulate
    0.64
    evaluate
    0.64
    igate
    0.60
    ative
    0.60
    igan
    0.60
    Activations Density 0.537%

    No Known Activations