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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. 8-RES-JB
    11. 173
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    Explanations

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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©ãĤ´ãĥ³
    -0.76
    icist
    -0.71
    intend
    -0.70
    ants
    -0.66
    iage
    -0.66
    ican
    -0.66
    nik
    -0.66
    anse
    -0.64
    nis
    -0.64
    icity
    -0.62
    POSITIVE LOGITS
     loopholes
    1.08
     doors
    0.95
     Doors
    0.93
     loophole
    0.77
    doors
    0.75
     door
    0.73
     curtains
    0.73
     shutter
    0.71
     Guant
    0.71
    tered
    0.70
    Activations Density 0.046%

    No Known Activations