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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "Juanita"

    oai_token-act-pair · gpt-3.5-turbo

    the word "ita" in various contexts throughout the document

    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
    paren
    -0.80
    edge
    -0.76
    shows
    -0.75
    pelled
    -0.73
    roads
    -0.71
    member
    -0.68
     groom
    -0.67
    space
    -0.67
    minded
    -0.66
    ¥ŀ
    -0.64
    POSITIVE LOGITS
    BILITY
    1.00
    ita
    0.90
    iba
    0.84
    agate
    0.84
     Scotia
    0.83
     Gupta
    0.80
    zza
    0.78
     Rica
    0.77
     Lum
    0.76
    ika
    0.76
    Activations Density 0.008%

    No Known Activations