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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. 2-RES-JB
    11. 5521
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    Explanations

    adjectives describing the intensity or rarity of an attribute

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe unusual or significant characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Maze
    -0.71
     Upton
    -0.66
     Sierra
    -0.64
    ILA
    -0.64
     Ariel
    -0.61
     Insight
    -0.60
     Jude
    -0.60
    omics
    -0.60
     Mau
    -0.59
    ocracy
    -0.59
    POSITIVE LOGITS
    Ùĩ
    0.80
    aneously
    0.77
    xual
    0.76
     sidx
    0.74
    terday
    0.73
    ensical
    0.72
    uctor
    0.72
    wcsstore
    0.71
    ictive
    0.71
    LOCK
    0.70
    Activations Density 0.822%

    No Known Activations