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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. 2-RES-JB
    11. 14394
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    Explanations

    verbs preceded by the word "pred" signaling prediction, usually in the context of future events or behavior

    oai_token-act-pair · gpt-3.5-turbo

    words related to predictions or assumptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IFT
    -0.70
    ASE
    -0.69
    Hub
    -0.68
    ther
    -0.65
    ugu
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.64
     Soup
    -0.64
    NRS
    -0.62
    bs
    -0.62
    uchi
    -0.61
    POSITIVE LOGITS
     pred
    1.10
    efined
    1.02
    pred
    0.98
    nis
    0.85
    icated
    0.82
    essor
    0.81
    icip
    0.80
    etermin
    0.78
    ominated
    0.78
    icates
    0.77
    Activations Density 0.007%

    No Known Activations