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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. 22465
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    Explanations

    phrases related to service providers and their interactions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to service providers

    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
    yrinth
    -0.71
    schild
    -0.71
    vim
    -0.71
    bum
    -0.66
    printed
    -0.65
    zi
    -0.65
    DonaldTrump
    -0.64
    beck
    -0.64
    swe
    -0.63
    pee
    -0.63
    POSITIVE LOGITS
     provider
    0.97
     providers
    0.92
     Provider
    0.84
     delivering
    0.72
     licensed
    0.70
     licenses
    0.68
    atives
    0.68
     services
    0.67
     stalls
    0.67
     ISPs
    0.67
    Activations Density 0.013%

    No Known Activations