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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. 9796
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    INDEX
    Explanations

    phrases related to achieving success or completion

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "break through"

    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
    ials
    -0.74
    ise
    -0.71
    arily
    -0.71
    juven
    -0.71
    Ring
    -0.70
    ises
    -0.70
    izes
    -0.69
    rouse
    -0.64
    abet
    -0.63
    isd
    -0.62
    POSITIVE LOGITS
     waivers
    0.75
    oresc
    0.70
    agall
    0.68
     Rodgers
    0.68
    erella
    0.65
     customs
    0.64
    lace
    0.64
    ework
    0.63
    heit
    0.62
     intermedi
    0.61
    Activations Density 0.040%

    No Known Activations