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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. 6-RES-JB
    11. 2983
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    INDEX
    Explanations

    phrases expressing causation or explanation

    oai_token-act-pair · gpt-3.5-turbo

    phrases introducing a clause or additional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    athi
    -0.67
    Bas
    -0.65
    Behind
    -0.64
    Rog
    -0.61
    STE
    -0.60
     Burg
    -0.58
    BLE
    -0.57
    EMBER
    -0.57
    Crash
    -0.57
     Hutch
    -0.57
    POSITIVE LOGITS
     resulted
    0.88
     admittedly
    0.87
    allows
    0.84
     prompts
    0.82
     presumably
    0.82
     brings
    0.81
     fortunately
    0.78
     thankfully
    0.77
     incidentally
    0.77
    milo
    0.75
    Activations Density 0.132%

    No Known Activations