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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4803
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    INDEX
    Explanations

    words related to contrast or exception within a context

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitional phrases indicating contrast or exception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ether
    -0.79
    ixel
    -0.66
    orthy
    -0.64
    rez
    -0.63
    Sharp
    -0.63
    IFE
    -0.62
    bright
    -0.60
    SPA
    -0.60
    Els
    -0.60
    aepernick
    -0.60
    POSITIVE LOGITS
     streng
    0.82
    pires
    0.77
    etheless
    0.74
     vo
    0.70
     occas
    0.69
    ĪĴ
    0.68
     ptr
    0.67
    ãĤ©
    0.65
     cannabin
    0.61
     confir
    0.61
    Activations Density 0.280%

    No Known Activations