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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "desperately" multiple times in texts

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ences
    -0.82
    insula
    -0.78
    cision
    -0.75
    animous
    -0.74
    arthed
    -0.73
    essee
    -0.71
     citation
    -0.70
    gang
    -0.70
    rees
    -0.67
     Freem
    -0.66
    POSITIVE LOGITS
     desperately
    0.87
    ãĤ§
    0.77
     needed
    0.74
     claw
    0.73
     reun
    0.73
    needed
    0.72
     reunited
    0.72
    efully
    0.71
     clinging
    0.70
     urgently
    0.70
    Activations Density 0.007%

    No Known Activations