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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. 20248
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    Explanations

    phrases indicating a sense of obligation or duty

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to action and commitment toward a common goal

    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
    ãĥ©ãĥ³
    -0.83
    ĨĴ
    -0.71
    £ı
    -0.70
    ©¶æ
    -0.67
    ãĥ¯ãĥ³
    -0.66
    tyard
    -0.64
    Ľ
    -0.63
    hene
    -0.60
    ople
    -0.59
    orr
    -0.58
    POSITIVE LOGITS
     too
    2.22
     likewise
    1.59
    too
    1.40
     Too
    1.30
     ALSO
    1.08
     also
    1.07
     similarly
    1.04
     same
    0.92
    also
    0.91
     equally
    0.89
    Activations Density 1.300%

    No Known Activations