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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. 6609
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    Explanations

    phrases or clauses beginning with the word "which" followed by a verb in the past or present tense

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce clauses or point to specific details

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ses
    -0.66
    ":-
    -0.62
    .",
    -0.60
     discipline
    -0.60
    Fine
    -0.59
    enei
    -0.58
     resil
    -0.58
     ASP
    -0.57
    kell
    -0.56
    +.
    -0.56
    POSITIVE LOGITS
    ãĥ©ãĥ³
    0.94
     incidentally
    0.91
    -)
    0.88
    Downloadha
    0.80
    ãĤ¨ãĥ«
    0.79
    )</
    0.78
    lihood
    0.78
    likely
    0.75
    Ö¼
    0.75
    ardless
    0.74
    Activations Density 0.445%

    No Known Activations