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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. 8-RES-JB
    6. 1971
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    INDEX
    Explanations

    generic, unspecified things or items

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "stuff" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.70
    deen
    -0.69
     Examination
    -0.65
    CVE
    -0.64
    vette
    -0.63
     captcha
    -0.62
    bered
    -0.61
     crest
    -0.61
    INAL
    -0.60
    externalActionCode
    -0.59
    POSITIVE LOGITS
    bags
    1.08
     happening
    1.01
     happens
    1.01
    hots
    0.91
    iness
    0.88
    ious
    0.85
     else
    0.84
    EMS
    0.82
    bag
    0.82
    hing
    0.81
    Activations Density 0.033%

    No Known Activations