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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. 24003
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    INDEX
    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or situations involving confinement and escape

    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
    Interstitial
    -0.98
    Magikarp
    -0.68
    çĶ°
    -0.66
    Grand
    -0.64
    Redditor
    -0.62
    ãĤ©
    -0.62
     Revision
    -0.60
    Fax
    -0.60
    Els
    -0.59
    utm
    -0.59
    POSITIVE LOGITS
     altogether
    1.47
     entirely
    1.10
     confines
    0.96
     prematurely
    0.96
     abruptly
    0.94
     shack
    0.85
     voluntarily
    0.80
     fray
    0.78
     restraints
    0.77
     completely
    0.76
    Activations Density 0.590%

    No Known Activations