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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. 4-RES-JB
    11. 4717
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     din
    -0.67
    renheit
    -0.67
    Wan
    -0.65
     ILCS
    -0.62
    neau
    -0.62
    anyon
    -0.60
    Assembly
    -0.60
    WC
    -0.59
    accessible
    -0.59
    drive
    -0.59
    POSITIVE LOGITS
    ues
    1.00
    UE
    0.84
    ued
    0.83
    hift
    0.82
    eem
    0.80
    itionally
    0.80
    ilver
    0.77
    uing
    0.77
    ences
    0.75
    terday
    0.74
    Activations Density 0.013%

    No Known Activations