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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. 9-RES-JB
    11. 18548
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    Explanations

    items or things that can be purchased

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating purchases or items being bought

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ###
    -0.71
    aan
    -0.66
    ix
    -0.66
    ril
    -0.64
    ieth
    -0.64
    hess
    -0.62
     Regardless
    -0.62
    browser
    -0.61
     Nonetheless
    -0.61
    nered
    -0.59
    POSITIVE LOGITS
     sale
    1.43
    geries
    1.10
    bidden
    1.08
    gery
    1.05
    gotten
    0.97
     emergencies
    0.91
     purposes
    0.90
     hire
    0.90
     example
    0.89
    ked
    0.88
    Activations Density 0.177%

    No Known Activations