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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. 15136
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    Explanations

    phrases related to work and management

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to absurdity or exaggerated statements

    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
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    Negative Logits
     disg
    -0.77
     destro
    -0.74
    theless
    -0.66
     toget
    -0.65
     prest
    -0.64
     gren
    -0.63
     princ
    -0.63
     muster
    -0.61
     aven
    -0.60
     pse
    -0.59
    POSITIVE LOGITS
     Experience
    0.98
     Relationship
    0.98
     Disorder
    0.97
     Therapy
    0.97
     Programs
    0.96
     Replacement
    0.96
     Collection
    0.94
     Month
    0.93
     Abilities
    0.93
     Reviews
    0.93
    Activations Density 0.629%

    No Known Activations