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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. 1-RES-JB
    6. 17413
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    INDEX
    Explanations

    specific phrases or keywords related to instructions or prompts

    oai_token-act-pair · gpt-3.5-turbo

    sentence starters or common phrases indicative of dialogue and narrative structure

    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
     }}
    -0.49
     [|
    -0.47
     referen
    -0.46
    idated
    -0.46
    ebook
    -0.45
    arsity
    -0.44
     CLSID
    -0.44
     Moroc
    -0.44
    代
    -0.44
     Polo
    -0.44
    POSITIVE LOGITS
    etheless
    0.69
    ktop
    0.64
    mosp
    0.64
    resa
    0.62
    swers
    0.62
    xiety
    0.59
    zbollah
    0.58
    Voice
    0.56
    jriwal
    0.54
    notations
    0.54
    Activations Density 0.589%

    No Known Activations