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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. 10-RES-JB
    6. 11043
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating continuity or sequential actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥª
    -0.68
    MET
    -0.65
    ox
    -0.63
    embed
    -0.63
    "],"
    -0.62
    roll
    -0.62
    ocations
    -0.60
    mx
    -0.59
     COVER
    -0.58
    iaz
    -0.57
    POSITIVE LOGITS
     third
    2.15
     fourth
    2.08
    Third
    2.05
    Fourth
    1.94
     second
    1.87
    third
    1.85
     fifth
    1.84
    fourth
    1.82
     sixth
    1.73
     seventh
    1.71
    Activations Density 0.186%

    No Known Activations