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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. 10-RES-JB
    11. 10501
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    INDEX
    Explanations

    opportunities or significant events in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to opportunities, challenges, and noteworthy occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scape
    -0.68
    asus
    -0.64
    plane
    -0.57
    ARS
    -0.55
    ramid
    -0.55
     descriptor
    -0.55
    shield
    -0.55
    araoh
    -0.54
    Brazil
    -0.54
    atorium
    -0.54
    POSITIVE LOGITS
    pring
    1.27
    poons
    1.18
    heet
    1.11
    paces
    1.11
    omething
    1.10
    ourcing
    1.10
     gal
    1.07
    etting
    1.05
    hooting
    1.04
    pace
    1.00
    Activations Density 0.388%

    No Known Activations