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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. 3-RES-JB
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    Explanations

    references to symposiums

    oai_token-act-pair · gpt-3.5-turbo

    references to symposiums and related academic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    patrick
    -0.78
    holding
    -0.73
     oats
    -0.72
    mallow
    -0.70
     Palmer
    -0.68
    ardless
    -0.67
    wagen
    -0.66
    landish
    -0.65
     Morty
    -0.65
    LESS
    -0.64
    POSITIVE LOGITS
    posium
    1.54
    ptoms
    1.24
     Sym
    1.14
    phony
    1.09
    Sym
    1.06
    pt
    0.86
    etrical
    0.83
    unia
    0.83
    ple
    0.82
    onic
    0.81
    Activations Density 0.012%

    No Known Activations