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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 21262
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    Explanations

    verbs related to obtaining or recovering something

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of retrieving or recovering something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mpeg
    -0.77
    mun
    -0.76
    cas
    -0.76
    este
    -0.67
    ellen
    -0.67
    neg
    -0.67
    erness
    -0.66
    keley
    -0.65
    VP
    -0.64
    sf
    -0.64
    POSITIVE LOGITS
     retrie
    0.92
     retri
    0.91
    ezvous
    0.88
    İĭ
    0.83
    rieving
    0.81
     retrieved
    0.80
     gobl
    0.79
     RTX
    0.75
     Jagu
    0.75
    owship
    0.74
    Activations Density 0.020%

    No Known Activations