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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. 11-RES-JB
    11. 4771
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to unanswered questions or unresolved situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earchers
    -0.59
     bona
    -0.51
     rooft
    -0.49
    umbn
    -0.47
     sovere
    -0.47
     specificity
    -0.47
    isable
    -0.46
     patience
    -0.45
    rium
    -0.44
     unden
    -0.44
    POSITIVE LOGITS
    ."
    1.25
    .""
    1.21
    ."[
    1.21
    .(
    1.17
    )."
    1.17
    .",
    1.16
    .''.
    1.12
    ".
    1.11
    .")
    1.11
    ".[
    1.07
    Activations Density 0.863%

    No Known Activations