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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. 11-RES-JB
    11. 20789
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    INDEX
    Explanations

    contextual descriptions or evaluations of situations, typically with a focus on the impact or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to a subject or topic that is consistently reiterated throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.55
    arthed
    -0.53
    oided
    -0.51
    Limit
    -0.50
     Vehicle
    -0.49
     welcome
    -0.49
     Panel
    -0.49
     Balloon
    -0.48
     dex
    -0.48
     Gifts
    -0.48
    POSITIVE LOGITS
    alian
    1.40
    chy
    1.34
    self
    1.21
    atic
    1.16
    unes
    1.14
    atically
    1.04
    iner
    0.88
    ovie
    0.86
    EMS
    0.83
    selves
    0.82
    Activations Density 0.143%

    No Known Activations