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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. 2-RES-JB
    11. 1806
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    INDEX
    Explanations

    phrases related to intense competition or decisive victories in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to knockout events in sports or competitive contexts

    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
    anson
    -0.79
    avid
    -0.79
     Aerospace
    -0.76
    rity
    -0.74
    rir
    -0.74
    reads
    -0.73
    ickr
    -0.73
    hist
    -0.70
    yer
    -0.67
    riv
    -0.66
    POSITIVE LOGITS
     knockout
    1.32
     punch
    0.87
    bowl
    0.86
     inhibitor
    0.83
     blow
    0.80
     showdown
    0.79
     tournament
    0.77
     Showdown
    0.73
     elimination
    0.72
     absor
    0.72
    Activations Density 0.006%

    No Known Activations