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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. 7-RES-JB
    11. 23672
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ©ãĥ³
    -0.81
    ibly
    -0.68
    pless
    -0.68
    ãĥĥãĥī
    -0.62
    è¿
    -0.62
    incial
    -0.62
    ãĥķ
    -0.60
    igl
    -0.58
    racuse
    -0.58
    meier
    -0.56
    POSITIVE LOGITS
     nomine
    0.76
     exists
    0.74
     itself
    0.71
     breaker
    0.68
     revolves
    0.65
     arose
    0.65
     Rowling
    0.65
     Roose
    0.62
     embodied
    0.62
    oldemort
    0.61
    Activations Density 0.595%

    No Known Activations