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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. 9-RES-JB
    11. 1929
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    Explanations

    the word "he"

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "he" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    اÙĦ
    -0.67
     Crush
    -0.59
     Voltage
    -0.58
    Fight
    -0.57
     Splash
    -0.57
     Interest
    -0.56
     daytime
    -0.56
     Electronics
    -0.56
     Ammunition
    -0.55
     independently
    -0.55
    POSITIVE LOGITS
    eding
    1.29
    redit
    1.29
    eded
    1.29
    ctic
    1.26
    aping
    1.24
    aps
    1.22
    uristic
    1.19
    aving
    1.19
    arers
    1.17
    ctor
    1.15
    Activations Density 0.114%

    No Known Activations