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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. 10-RES-JB
    11. 21411
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    Explanations

    the word "inn" with different intensities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "inn."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rely
    -0.67
    ¶æ
    -0.67
    gencies
    -0.62
    vich
    -0.61
    lda
    -0.61
     copy
    -0.60
    ============
    -0.59
    Cooldown
    -0.59
     Hit
    -0.59
     Zoom
    -0.59
    POSITIVE LOGITS
    ipeg
    1.60
    ovation
    1.43
    ocent
    1.30
    osuke
    1.24
    ikuman
    1.21
    spir
    1.18
    umerable
    1.13
    itus
    1.09
    ett
    1.05
    igan
    1.03
    Activations Density 0.038%

    No Known Activations