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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. 7287
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    INDEX
    Explanations

    phrases indicating frequency or common occurrence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize frequency or habitual actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.72
    anth
    -0.70
     Achievement
    -0.70
    vich
    -0.69
    otiation
    -0.68
    ajor
    -0.68
    sure
    -0.67
    atis
    -0.67
    ocracy
    -0.67
    atsu
    -0.67
    POSITIVE LOGITS
    entimes
    1.62
     overlooked
    1.32
     times
    1.23
    times
    1.22
     misunderstood
    1.09
     mistaken
    1.07
     referred
    1.06
     errone
    1.03
     mistakenly
    1.01
     underestimated
    1.00
    Activations Density 0.058%

    No Known Activations