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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. 0-RES-JB
    11. 17930
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    INDEX
    Explanations

    words related to the concept of intense immersion or involvement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to engagement and dilution in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Statement
    -0.84
     Tire
    -0.73
     Rash
    -0.72
     Tru
    -0.72
     Rai
    -0.71
     Ribbon
    -0.71
    NI
    -0.70
    eday
    -0.70
    tis
    -0.69
    ynski
    -0.68
    POSITIVE LOGITS
     eng
    3.17
     dil
    1.80
     enlarg
    1.16
     ing
    1.13
     aug
    1.12
     inst
    1.09
    Eng
    1.08
     ens
    1.06
     fost
    1.04
     erect
    0.99
    Activations Density 0.014%

    No Known Activations