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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. 17136
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    Explanations

    specific numbers related to locations or dates

    oai_token-act-pair · gpt-3.5-turbo

    instances of the end-of-text token

    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
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    Negative Logits
    light
    -0.77
    achu
    -0.76
    orius
    -0.75
    fall
    -0.75
    otle
    -0.74
    etic
    -0.73
    zyme
    -0.71
    owers
    -0.70
    olate
    -0.70
    intosh
    -0.68
    POSITIVE LOGITS
    nd
    2.14
    ND
    1.12
     thirds
    0.87
    ndra
    0.74
    nda
    0.72
    50
    0.71
    502
    0.71
    ipop
    0.70
    ppo
    0.68
    FW
    0.68
    Activations Density 0.144%

    No Known Activations