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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. 3-RES-JB
    11. 6570
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    Explanations

    oth verbal and non-verbal prayers, wishes, or expressions of hope

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of praying and its various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.69
    BuyableInstoreAndOnline
    -0.69
     Wonderland
    -0.66
     Normandy
    -0.64
    akuya
    -0.63
     Cros
    -0.62
     ponds
    -0.61
    ĸļ
    -0.60
     seams
    -0.60
     Zan
    -0.59
    POSITIVE LOGITS
    ciples
    0.97
    cess
    0.80
    cipled
    0.78
    cific
    0.78
    formance
    0.76
    ulo
    0.73
    rior
    0.72
    idium
    0.72
    asant
    0.71
    utan
    0.69
    Activations Density 0.074%

    No Known Activations