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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. 10-RES-JB
    11. 16193
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    Explanations

    mentions of the word "Mont" followed by a single digit

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Mont" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.70
    pta
    -0.66
     WS
    -0.62
    Thumbnail
    -0.61
    OTS
    -0.60
     UAE
    -0.60
     kit
    -0.59
     thumbs
    -0.58
     Supporters
    -0.58
     twitch
    -0.57
    POSITIVE LOGITS
    erey
    1.49
    essor
    1.41
    gomery
    1.34
    agne
    1.27
    clair
    1.20
    ague
    1.16
     Blanc
    1.13
    eneg
    1.10
    ré
    1.09
    fort
    1.08
    Activations Density 0.020%

    No Known Activations