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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. 5086
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    Explanations

    words related to technical processes and methodologies, such as rendering, prototyping, and printing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various processes and practices in production and distribution

    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
    ULT
    -0.69
    ULTS
    -0.65
     Haram
    -0.59
    pine
    -0.59
    ised
    -0.59
     sqor
    -0.58
    ç¥ŀ
    -0.57
     VICE
    -0.56
     reper
    -0.56
     melan
    -0.55
    POSITIVE LOGITS
    ing
    2.24
    ings
    1.73
    ership
    1.48
    ers
    1.42
    ING
    1.42
    INGS
    1.31
    ed
    1.23
    ingen
    1.17
    er
    1.16
    ery
    1.15
    Activations Density 0.288%

    No Known Activations