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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. 0-RES-JB
    11. 11664
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    Explanations

    identifiers or labels within text

    oai_token-act-pair · gpt-3.5-turbo

    words related to classifications or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arrangements
    -0.69
     Sabb
    -0.64
    zens
    -0.62
     Lloyd
    -0.59
     Lilly
    -0.59
     statutes
    -0.57
     agreements
    -0.56
    judicial
    -0.56
     customs
    -0.55
     secrecy
    -0.55
    POSITIVE LOGITS
    ifier
    4.63
    ifiers
    3.87
    ification
    2.19
    ifying
    2.13
    ifies
    2.04
    ify
    1.93
    ifications
    1.82
    ified
    1.80
    IFIED
    1.56
    ifiable
    1.43
    Activations Density 0.012%

    No Known Activations