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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. 4-RES-JB
    11. 22262
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    Explanations

    mentions of the word "Motel"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Mot" and related variations, likely indicating a focus on specific subjects or entities associated with that term

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

    No Comments

    Negative Logits
     WARN
    -0.71
     Murdoch
    -0.70
    ãģį
    -0.67
     Miko
    -0.67
    Interstitial
    -0.66
    scl
    -0.66
    pta
    -0.65
    AMS
    -0.64
     Carbuncle
    -0.64
     Leopard
    -0.64
    POSITIVE LOGITS
    ivated
    1.30
    ivation
    1.30
    ivating
    1.06
    oto
    1.00
    ör
    0.98
    ificent
    0.95
    oko
    0.95
    orem
    0.91
    osh
    0.90
    Mot
    0.90
    Activations Density 0.009%

    No Known Activations