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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. 3-RES-JB
    11. 7248
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    Explanations

    phrases related to urgent needs or situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of urgent need or desperation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ences
    -0.81
    essee
    -0.77
     citation
    -0.71
    animous
    -0.71
    arthed
    -0.71
    insula
    -0.70
     attribution
    -0.67
    rity
    -0.67
    arth
    -0.66
     Freem
    -0.64
    POSITIVE LOGITS
     pleas
    0.79
    ãĥ£
    0.79
    needed
    0.77
     desperately
    0.77
     needed
    0.73
     reun
    0.73
     fought
    0.72
     reunited
    0.70
    ãĤ§
    0.70
     subsid
    0.69
    Activations Density 0.012%

    No Known Activations