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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. 6-RES-JB
    11. 9924
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    Explanations

    text related to technical information and instructions

    oai_token-act-pair · gpt-3.5-turbo

    numeric data often associated with measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.61
     Sutton
    -0.56
     Bots
    -0.56
     Hug
    -0.55
     Burton
    -0.55
     Chak
    -0.54
     Rash
    -0.54
     Wizard
    -0.54
     Schwartz
    -0.54
     Tours
    -0.54
    POSITIVE LOGITS
    ultimate
    0.69
     horizont
    0.63
    eport
    0.61
    ios
    0.61
     targ
    0.61
    hood
    0.61
    ciating
    0.60
    nesday
    0.59
    pires
    0.58
    unta
    0.58
    Activations Density 1.675%

    No Known Activations