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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. 7-RES-JB
    11. 14133
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    Explanations

    sentences that emphasize or highlight specific concepts or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating demonstration or evidence of concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    queue
    -0.81
    hari
    -0.72
    ades
    -0.68
     toured
    -0.66
    uss
    -0.64
    ade
    -0.63
    ussed
    -0.63
    agues
    -0.63
    ichen
    -0.62
    adies
    -0.62
    POSITIVE LOGITS
     displeasure
    0.73
     humility
    0.73
     how
    0.72
     suspicions
    0.72
     bias
    0.70
    ensus
    0.69
     defiance
    0.69
     desperation
    0.69
    quickShipAvailable
    0.68
    Flag
    0.68
    Activations Density 0.199%

    No Known Activations