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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. 6-RES-JB
    11. 14540
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    INDEX
    Explanations

    mentions of formal investigations or examinations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "inquiry" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perm
    -0.70
    birth
    -0.69
    KI
    -0.66
    Corn
    -0.66
    TRUMP
    -0.65
    rome
    -0.64
    kowski
    -0.63
    Fa
    -0.63
    Hero
    -0.63
    Lago
    -0.62
    POSITIVE LOGITS
     probing
    1.09
     inquiry
    1.07
     Inquiry
    1.01
    naires
    0.95
     hearings
    0.90
     inquiries
    0.81
     investigates
    0.81
    iry
    0.79
     inqu
    0.76
     inquire
    0.76
    Activations Density 0.023%

    No Known Activations