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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. 11134
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    Explanations

    phrases related to central themes or key points in various contexts or discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "about" in various contexts

    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
    DragonMagazine
    -0.87
    prus
    -0.84
    alian
    -0.78
    igmatic
    -0.76
    rett
    -0.75
    SON
    -0.73
    arie
    -0.72
    hari
    -0.71
    audi
    -0.70
    ukemia
    -0.70
    POSITIVE LOGITS
     preserving
    1.23
     maximizing
    1.19
     finding
    1.17
     protecting
    1.15
     respecting
    1.12
     keeping
    1.12
     proving
    1.11
     maintaining
    1.11
     figuring
    1.09
     getting
    1.09
    Activations Density 0.115%

    No Known Activations