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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. 4712
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    Explanations

    words related to competitions or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to a duel or competition scenario

    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
    hered
    -0.87
    growth
    -0.71
    PROV
    -0.68
    romy
    -0.67
    ritic
    -0.63
    ramid
    -0.61
    etsy
    -0.61
    Downloadha
    -0.60
    æĪ¦
    -0.60
    rates
    -0.59
    POSITIVE LOGITS
    oaded
    1.04
    uel
    1.01
    oad
    0.95
    lette
    0.88
    ounge
    0.85
    eer
    0.84
    oon
    0.83
    iel
    0.83
    inations
    0.82
    ock
    0.81
    Activations Density 0.003%

    No Known Activations