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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. 13513
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to discussions, subjects, or prominent topics

    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
    tnc
    -0.82
    CRIP
    -0.74
    earances
    -0.72
    respect
    -0.66
    thood
    -0.66
    each
    -0.64
    abwe
    -0.63
    teness
    -0.62
    hemy
    -0.61
    é»Ĵ
    -0.61
    POSITIVE LOGITS
    liest
    1.50
    iest
    1.29
     equivalent
    1.05
     centerpiece
    0.99
    hest
    0.95
     pinnacle
    0.91
    ultimate
    0.89
     easiest
    0.89
     safest
    0.88
     antidote
    0.86
    Activations Density 0.294%

    No Known Activations