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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. 12-RES-JB
    11. 3111
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    INDEX
    Explanations

    proper nouns related to locations or individuals

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    conditional phrases indicating hypothetical situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    baum
    -0.86
    ggles
    -0.85
    atican
    -0.75
    idespread
    -0.74
    yn
    -0.74
    abre
    -0.73
    yna
    -0.73
    bral
    -0.72
    emate
    -0.72
    ijn
    -0.72
    POSITIVE LOGITS
     nothing
    0.95
     they
    0.88
     sensing
    0.86
     acknowledging
    0.80
     anticipating
    0.80
     attempting
    0.79
     admitting
    0.78
     recalling
    0.77
     expecting
    0.77
     preparing
    0.76
    Activations Density 0.029%

    No Known Activations