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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14777
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    Explanations

    phrases related to permanence or remaining in a specific position or state

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stability and continuity

    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
    apest
    -0.77
    iscons
    -0.69
    romy
    -0.68
    »Ĵ
    -0.63
    ĪĴ
    -0.61
    ĺħ
    -0.60
    eco
    -0.59
    ellar
    -0.58
    GI
    -0.57
     sudden
    -0.57
    POSITIVE LOGITS
     indefinitely
    1.65
     until
    1.36
     till
    1.29
     unchanged
    1.29
    until
    1.22
     forever
    1.19
     intact
    1.15
     despite
    1.13
    til
    1.12
    withstanding
    1.05
    Activations Density 0.425%

    No Known Activations