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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. 11-RES-JB
    11. 5557
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    Explanations

    the pattern "w" followed by a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'w' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Splash
    -0.75
     flashbacks
    -0.65
     Grizz
    -0.64
     Viper
    -0.63
     breaths
    -0.63
     THREE
    -0.61
     FIRE
    -0.61
    terday
    -0.61
     jealousy
    -0.61
     ONLY
    -0.59
    POSITIVE LOGITS
    ür
    1.32
    ohl
    1.21
    urden
    1.20
    arten
    1.19
    irk
    1.17
    ohn
    1.16
    irts
    1.14
    icht
    1.13
    ör
    1.13
    ird
    1.12
    Activations Density 0.032%

    No Known Activations