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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. 8-RES-JB
    6. 19508
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    Explanations

    phrases where an action or statement is met with a specific response or reaction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reception or response to events or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pastebin
    -0.70
     prefrontal
    -0.68
     republic
    -0.65
     XV
    -0.64
     principals
    -0.64
     situational
    -0.63
     dosage
    -0.63
     jurors
    -0.63
     Paste
    -0.63
     vantage
    -0.62
    POSITIVE LOGITS
    idable
    0.96
    ãĤ¦ãĤ¹
    0.84
    alled
    0.82
    å£
    0.82
    oing
    0.82
    ª
    0.82
    igated
    0.80
    gaard
    0.78
    DragonMagazine
    0.78
    ãĥīãĥ©
    0.78
    Activations Density 0.101%

    No Known Activations