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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. 4-RES-JB
    11. 15903
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    Explanations

    expressions related to locations or places

    oai_token-act-pair · gpt-3.5-turbo

    specific terms and phrases related to brands, products, and various forms of media or entertainment

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

    No Comments

    Negative Logits
    ĸļ
    -0.70
    ngth
    -0.67
    pert
    -0.65
    repeat
    -0.64
    effic
    -0.62
    onym
    -0.61
    effects
    -0.60
    stanbul
    -0.60
     showc
    -0.60
     Xperia
    -0.59
    POSITIVE LOGITS
    lehem
    0.74
    pillar
    0.74
    EStreamFrame
    0.72
    ĵĺ
    0.72
    illet
    0.72
    oola
    0.70
    apest
    0.69
    abase
    0.68
     Jenner
    0.67
    levard
    0.67
    Activations Density 0.938%

    No Known Activations