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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. 1-RES-JB
    11. 20806
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    Explanations

    phrases that describe or define a particular characteristic

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe characteristics or qualities of subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heed
    -0.71
    adra
    -0.70
     Angels
    -0.70
    ggies
    -0.67
    BA
    -0.67
    PU
    -0.65
    eye
    -0.64
    entry
    -0.64
    eland
    -0.64
    isdom
    -0.63
    POSITIVE LOGITS
     characterized
    1.08
     adolesc
    0.97
     mathemat
    0.87
     charact
    0.87
     characterize
    0.85
    ocument
    0.83
     warr
    0.83
    xual
    0.81
    urally
    0.80
     Hispan
    0.76
    Activations Density 0.009%

    No Known Activations