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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. 1712
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    Explanations

    mentions of specific locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or landmarks

    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
    ãģ®éŃĶ
    -0.75
    ijah
    -0.72
    erous
    -0.66
     Jericho
    -0.65
     crim
    -0.65
    CLASSIFIED
    -0.64
    aunders
    -0.63
    20439
    -0.63
    erial
    -0.63
     Dickens
    -0.63
    POSITIVE LOGITS
    lich
    0.98
    idates
    0.75
    llan
    0.75
    hei
    0.75
    pport
    0.75
    mite
    0.72
    inia
    0.71
    erity
    0.71
    reements
    0.70
    isan
    0.70
    Activations Density 0.021%

    No Known Activations