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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. 1-RES-JB
    11. 4937
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    Explanations

    phrases related to settings and scenarios

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases that begin with "pre-"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loo
    -0.76
    ãĥīãĥ©ãĤ´ãĥ³
    -0.73
    Accessory
    -0.71
     roadside
    -0.66
    è¦ļéĨĴ
    -0.65
     Kingdoms
    -0.64
    =-=-=-=-
    -0.63
     Abyssal
    -0.62
     Slug
    -0.60
     Darling
    -0.59
    POSITIVE LOGITS
    cedented
    1.19
    hend
    1.14
    cision
    1.13
    viously
    1.12
    pared
    1.03
    vious
    1.03
    pend
    1.02
    requisites
    0.96
    fecture
    0.96
    req
    0.94
    Activations Density 0.004%

    No Known Activations