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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. 1-RES-JB
    11. 11263
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    Explanations

    keywords related to prediction or anticipation

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hub
    -0.76
    IFT
    -0.74
    ther
    -0.67
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
    TEXTURE
    -0.63
    Girls
    -0.62
    ugu
    -0.62
    cow
    -0.62
    uchi
    -0.62
     Holding
    -0.61
    POSITIVE LOGITS
     pred
    1.29
    pred
    1.02
    efined
    1.01
    nis
    0.87
    ominated
    0.86
    icated
    0.82
    icates
    0.82
    pend
    0.81
     coincide
    0.78
     conting
    0.75
    Activations Density 0.004%

    No Known Activations