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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. 8730
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of specific content or context hints related to technology and their impact

    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
    ãĤ¬
    -0.62
     Hats
    -0.62
     censored
    -0.61
     Sapp
    -0.60
     fright
    -0.60
     intimidating
    -0.59
    é¾įå¥ij士
    -0.59
     shack
    -0.59
     Engel
    -0.58
     redesign
    -0.58
    POSITIVE LOGITS
    lance
    1.05
    tions
    1.05
    tion
    1.04
    aneous
    1.02
    tal
    1.02
    mental
    0.99
    cation
    0.96
    cial
    0.94
    ship
    0.92
    cies
    0.89
    Activations Density 0.045%

    No Known Activations