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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. 23099
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    INDEX
    Explanations

    locations or destinations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" and its significance in various contexts

    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
    •Every Saturdays, Rabbi Goldstein goes to the

    No Comments

    Negative Logits
    thood
    -0.76
    rand
    -0.67
    76561
    -0.66
     namely
    -0.65
    each
    -0.64
     strives
    -0.63
    bourg
    -0.63
    VILLE
    -0.62
     followed
    -0.62
    iam
    -0.61
    POSITIVE LOGITS
     brink
    1.30
     forefront
    1.28
     outskirts
    1.14
     nearest
    1.13
     depths
    1.11
     fullest
    1.07
     pinnacle
    1.05
     furthe
    1.01
     podium
    1.00
     conclusion
    0.99
    Activations Density 0.144%

    No Known Activations