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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. 7981
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    Explanations

    mentions of the word "Bod" at varying levels of activation which may indicate a focus on a specific concept or term related to it

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities associated with the name "Bod" or "Bru."

    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
    othal
    -0.77
    ouri
    -0.73
    ription
    -0.71
    tainment
    -0.70
    arcer
    -0.70
    atile
    -0.69
    APE
    -0.69
    IVE
    -0.69
    urities
    -0.66
    oire
    -0.66
    POSITIVE LOGITS
    hood
    0.84
    endor
    0.81
    ysc
    0.79
     Haram
    0.74
    etooth
    0.74
    cake
    0.71
    jing
    0.68
     Fuk
    0.68
     Stra
    0.67
    gets
    0.67
    Activations Density 0.047%

    No Known Activations