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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. 4831
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    Explanations

    phrases related to people trying their best or making efforts

    oai_token-act-pair · gpt-3.5-turbo

    actions or behaviors related to performance or participation in activities

    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
    etheless
    -0.94
    âĦ¢:
    -0.78
    REDACTED
    -0.74
     "@
    -0.68
    âī
    -0.67
    ©¶æ
    -0.65
    ãĤ´ãĥ³
    -0.65
    ģĸ
    -0.65
    emale
    -0.65
    âľ
    -0.64
    POSITIVE LOGITS
     themselves
    1.40
     their
    1.30
    their
    1.16
     THEIR
    1.07
    ,'"
    1.06
    .'"
    0.99
    Their
    0.99
     [
    0.96
    They
    0.95
     theirs
    0.94
    Activations Density 0.469%

    No Known Activations