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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. 8-RES-JB
    11. 13012
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    INDEX
    Explanations

    phrases related to decisions, actions, or events being taken by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ²¾
    -0.69
    Ĥİ
    -0.66
     Emails
    -0.65
     Runs
    -0.63
    sburgh
    -0.63
    Background
    -0.63
    lambda
    -0.62
    execute
    -0.61
     actionGroup
    -0.61
     ([
    -0.59
    POSITIVE LOGITS
     rarity
    1.07
     phenomenon
    1.02
     testament
    1.00
     hallmark
    1.00
     reminder
    0.96
     precursor
    0.91
     euphem
    0.91
    hem
    0.91
    rouse
    0.91
     pecul
    0.88
    Activations Density 0.172%

    No Known Activations