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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. 0-RES-JB
    11. 5216
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    Explanations

    words related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    words related to bats and associated concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     store
    -0.73
    OUNT
    -0.67
     rec
    -0.62
     surplus
    -0.62
     cu
    -0.62
     scoop
    -0.61
     occ
    -0.60
     emergency
    -0.60
    rius
    -0.60
     replay
    -0.59
    POSITIVE LOGITS
    bats
    4.23
    jee
    1.89
    bug
    1.19
    vals
    1.15
    bugs
    1.15
     pigeon
    1.04
    laughs
    1.01
     pige
    1.00
    abouts
    1.00
     pitches
    0.98
    Activations Density 0.046%

    No Known Activations