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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. 13083
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    Explanations

    phrases related to taking action or responsibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing collective actions and responsibilities

    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
    £ı
    -0.74
    ©¶æ
    -0.71
    ãĥ©ãĥ³
    -0.68
    Ľ
    -0.61
    hene
    -0.60
    ij士
    -0.59
    save
    -0.56
    tyard
    -0.56
    ãĥ¯ãĥ³
    -0.56
    ĨĴ
    -0.55
    POSITIVE LOGITS
     too
    2.30
    too
    1.53
     likewise
    1.52
     Too
    1.40
     also
    1.07
     ALSO
    1.04
    Too
    0.99
     similarly
    0.98
    also
    0.95
     equally
    0.89
    Activations Density 1.391%

    No Known Activations