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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. 1-RES-JB
    11. 8054
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    Explanations

    formal titles or expressions related to movies

    oai_token-act-pair · gpt-3.5-turbo

    references to literary or artistic education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ioch
    -0.80
    aly
    -0.71
    ipal
    -0.69
    ortium
    -0.68
     unidentified
    -0.65
    erest
    -0.65
    Fed
    -0.65
    agall
    -0.64
    ric
    -0.63
    vantage
    -0.63
    POSITIVE LOGITS
    inventoryQuantity
    0.78
    ="#
    0.75
     Lego
    0.71
    ession
    0.69
    plet
    0.68
    glers
    0.62
     giveaways
    0.61
    oké
    0.60
     Mori
    0.58
    Gam
    0.57
    Activations Density 0.000%

    No Known Activations