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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. 6-RES-JB
    11. 16944
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    Explanations

    words related to specific units of measure or quantity

    oai_token-act-pair · gpt-3.5-turbo

    various suffixes and word endings, particularly those associated with nouns and verbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imil
    -0.73
    chwitz
    -0.71
    ENN
    -0.67
    cedented
    -0.67
    lyak
    -0.64
    isl
    -0.63
    \\\\\\\\
    -0.63
    olen
    -0.61
    ndra
    -0.61
     Citiz
    -0.61
    POSITIVE LOGITS
    Ø©
    0.80
    ught
    0.73
    ishly
    0.66
    hedon
    0.65
    ascus
    0.64
     Adin
    0.64
    oute
    0.64
    dq
    0.62
    ttes
    0.62
    urs
    0.59
    Activations Density 0.351%

    No Known Activations