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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. 9-RES-JB
    11. 17278
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    Explanations

    keywords related to light intensity or illumination

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific term related to lighting or light rail concepts

    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
    halla
    -0.78
    berus
    -0.77
    CVE
    -0.72
     Carnegie
    -0.70
    JUST
    -0.68
    ettings
    -0.67
    utor
    -0.66
     Bagg
    -0.65
    OUP
    -0.65
    PsyNetMessage
    -0.62
    POSITIVE LOGITS
    bul
    1.33
    hearted
    1.29
    weights
    1.28
    ening
    1.26
    nings
    1.25
    enment
    1.14
     bulb
    1.13
    weight
    1.13
    bringer
    1.11
     bulbs
    1.09
    Activations Density 0.036%

    No Known Activations