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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. 7-RES-JB
    11. 3581
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    Explanations

    the abbreviation "Ins" followed by a numerical value, with high activations for "Ins10" and "Ins9."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "ins" or "insurance."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢
    -0.81
    llan
    -0.71
     litter
    -0.70
    ries
    -0.69
     RTX
    -0.68
    theless
    -0.67
    è¦ļéĨĴ
    -0.64
     Carbuncle
    -0.63
    ãĥ£
    -0.62
     Thumbnails
    -0.62
    POSITIVE LOGITS
    ights
    1.26
    urrection
    1.20
    ufficient
    1.19
    iders
    1.18
    urance
    1.18
    omnia
    1.10
    idious
    1.07
    ider
    1.03
    urg
    1.00
    pect
    1.00
    Activations Density 0.017%

    No Known Activations