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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. 1250
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    Explanations

    information related to specifications, numbers, and technical details

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to data arrangement and measurement

    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
    iversary
    -0.64
    dor
    -0.63
    eur
    -0.63
    PHOTOS
    -0.63
    Í
    -0.61
    culosis
    -0.61
    wings
    -0.59
    DragonMagazine
    -0.59
    flat
    -0.59
    volent
    -0.59
    POSITIVE LOGITS
     available
    1.47
     utilized
    1.41
     used
    1.38
     obtained
    1.36
     offered
    1.33
     employed
    1.33
     provided
    1.31
     applied
    1.30
     afforded
    1.30
     found
    1.30
    Activations Density 0.618%

    No Known Activations