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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. 6-RES-JB
    11. 5471
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    Explanations

    phrases related to overcoming challenges or performing well in competition

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to self-criticism and the concept of 'beating' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fecture
    -0.83
    interstitial
    -0.82
    ffe
    -0.74
    ornia
    -0.70
    exempt
    -0.69
    zed
    -0.68
    wcs
    -0.68
    ONSORED
    -0.67
    iosis
    -0.67
    pora
    -0.66
    POSITIVE LOGITS
     hardest
    0.87
     odds
    0.85
     toughest
    0.80
     senseless
    0.80
     crap
    0.78
     drum
    0.77
     drums
    0.74
     merciless
    0.71
     asses
    0.69
     bulls
    0.68
    Activations Density 0.103%

    No Known Activations