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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. 10-RES-JB
    11. 11162
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    Explanations

    references to future plans or intentions

    oai_token-act-pair · gpt-3.5-turbo

    references to future intentions or arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inas
    -0.71
     ILCS
    -0.64
    mint
    -0.63
    odox
    -0.63
    Cause
    -0.62
    inion
    -0.60
    entimes
    -0.60
     Syndrome
    -0.60
    avery
    -0.59
     Governors
    -0.59
    POSITIVE LOGITS
     for
    0.90
    isphere
    0.88
     hatched
    0.81
    emaker
    0.81
     underway
    0.78
     unveiled
    0.76
     horizon
    0.73
     ahead
    0.73
     to
    0.73
    etting
    0.72
    Activations Density 0.064%

    No Known Activations