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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. 6-RES-JB
    11. 14956
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    Explanations

    words related to power capacity or adapting to ecological changes

    oai_token-act-pair · gpt-3.5-turbo

    words related to measurements of power or capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.76
     Frey
    -0.74
    ĸļ
    -0.73
     Syndicate
    -0.72
     Painter
    -0.67
     Fra
    -0.65
     scen
    -0.64
     Mechdragon
    -0.64
     Pact
    -0.64
     CPS
    -0.63
    POSITIVE LOGITS
    pload
    0.98
    ound
    0.97
    ombat
    0.90
    iameter
    0.88
    arming
    0.87
    rew
    0.86
    athom
    0.84
    illion
    0.84
    ramer
    0.82
    oop
    0.82
    Activations Density 0.100%

    No Known Activations