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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. 10-RES-JB
    11. 7129
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    INDEX
    Explanations

    mentions of official documents or written communications

    oai_token-act-pair · gpt-3.5-turbo

    references to memos and documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gain
    -0.66
    Featured
    -0.66
     Tune
    -0.65
    Interstitial
    -0.64
    POSE
    -0.64
    fan
    -0.63
    twitch
    -0.63
    effic
    -0.62
    Pause
    -0.62
    âĺĨ
    -0.61
    POSITIVE LOGITS
     outlining
    1.22
     titled
    1.10
     memo
    1.07
    andum
    1.06
     detailing
    1.04
     circulated
    1.02
     issued
    1.01
    ographed
    1.01
     drafted
    0.98
     penned
    0.96
    Activations Density 0.049%

    No Known Activations