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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. 13131
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    Explanations

    dates, locations, and names of specific events or places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "on"

    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
    heit
    -0.67
    ufact
    -0.65
    ngth
    -0.63
     Sioux
    -0.59
    iazep
    -0.59
    redients
    -0.59
    anchester
    -0.58
    arcity
    -0.58
    urat
    -0.57
    Downloadha
    -0.56
    POSITIVE LOGITS
    ado
    0.71
    taboola
    0.64
    athan
    0.63
    Accessory
    0.62
    Nav
    0.61
    ondo
    0.61
    INAL
    0.61
    orah
    0.61
    à¼
    0.60
     Barrel
    0.59
    Activations Density 0.139%

    No Known Activations