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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. 16847
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    Explanations

    details and levels of detail within texts

    oai_token-act-pair · gpt-3.5-turbo

    references to levels of detail in descriptions

    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
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    No Comments

    Negative Logits
    onz
    -0.84
    nder
    -0.77
    aden
    -0.72
    anski
    -0.72
    mire
    -0.70
    orea
    -0.69
    ammy
    -0.68
    si
    -0.67
    Mos
    -0.66
    arte
    -0.65
    POSITIVE LOGITS
     detail
    1.08
     details
    0.84
     Detail
    0.75
    iveness
    0.75
    ariat
    0.74
    uring
    0.73
    ured
    0.72
    displayText
    0.68
     settings
    0.67
     glean
    0.67
    Activations Density 0.016%

    No Known Activations