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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. 6-RES-JB
    11. 21958
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals involved in controversy or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.79
     pse
    -0.62
    lance
    -0.60
     âĶľâĶĢâĶĢ
    -0.60
     MPG
    -0.59
     LCD
    -0.58
     NES
    -0.58
     HELL
    -0.57
     RPGs
    -0.57
     bottleneck
    -0.56
    POSITIVE LOGITS
    ovich
    0.77
    iani
    0.75
    kson
    0.73
    atta
    0.72
    Bey
    0.70
     himself
    0.68
    gar
    0.68
     personally
    0.68
    neau
    0.67
    zon
    0.66
    Activations Density 0.448%

    No Known Activations