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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. 5-RES-JB
    6. 2041
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    Explanations

    words related to quick action or instant results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating immediate actions or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ANGEL
    -0.80
    llor
    -0.70
    ger
    -0.68
     setbacks
    -0.66
    ña
    -0.64
     Hann
    -0.64
     Millennium
    -0.62
    may
    -0.62
     directives
    -0.60
     newsp
    -0.59
    POSITIVE LOGITS
    aneously
    1.23
     Leilan
    0.81
     transitioned
    0.78
     recogn
    0.75
     recognizable
    0.75
    aneous
    0.74
    immune
    0.74
    idious
    0.72
     identifiable
    0.72
    ipedia
    0.70
    Activations Density 0.024%

    No Known Activations