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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 17338
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    oai_token-act-pair · gpt-3.5-turbo

    items or objects categorized with rarity and related metadata

    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
    ivism
    -0.80
    vier
    -0.74
    hend
    -0.68
    ardi
    -0.67
    gress
    -0.66
    gins
    -0.65
    alus
    -0.65
    ivist
    -0.65
    naires
    -0.64
    othy
    -0.64
    POSITIVE LOGITS
    Movie
    0.79
    Dec
    0.70
    BuyableInstoreAndOnline
    0.67
    Detailed
    0.67
    Parameter
    0.63
    Phase
    0.63
    Description
    0.63
    Runtime
    0.63
    Tri
    0.62
    Queue
    0.62
    Activations Density 0.241%

    No Known Activations