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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. 0-RES-JB
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    INDEX
    Explanations

    instances of the word "holding" with high importance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "holding" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conom
    -0.75
    cribed
    -0.74
    enza
    -0.72
    learn
    -0.72
    sylv
    -0.68
    apo
    -0.66
    utenberg
    -0.66
    ctive
    -0.65
    é»Ĵ
    -0.65
    throp
    -0.64
    POSITIVE LOGITS
     holding
    3.45
     Holding
    2.20
    holding
    1.95
     hold
    1.81
     clutching
    1.76
    Hold
    1.65
     carrying
    1.56
     holds
    1.50
     held
    1.50
     controlling
    1.39
    Activations Density 0.020%

    No Known Activations