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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. 21204
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    Explanations

    references to investigations or examinations, especially in a formal or official context

    oai_token-act-pair · gpt-3.5-turbo

    references to formal investigations or inquiries

    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
    Aid
    -0.67
    birth
    -0.66
    perm
    -0.65
     Extrem
    -0.64
     Kinnikuman
    -0.60
     Kers
    -0.60
    KI
    -0.59
    Production
    -0.59
    Dub
    -0.58
    rome
    -0.58
    POSITIVE LOGITS
     inquiry
    1.27
     Inquiry
    1.24
     probing
    1.03
     inquiries
    0.99
     Inqu
    0.93
     inquire
    0.90
     hearings
    0.89
     enqu
    0.89
    naires
    0.88
    iry
    0.84
    Activations Density 0.012%

    No Known Activations