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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. 9-RES-JB
    11. 1486
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    Explanations

    phrases related to someone returning from a specific location or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to returning or coming back from places or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sylv
    -0.84
    iquette
    -0.84
    lied
    -0.71
    abouts
    -0.71
    footed
    -0.70
    ech
    -0.70
    CHAT
    -0.70
    nets
    -0.69
    faced
    -0.67
    facts
    -0.67
    POSITIVE LOGITS
     whence
    1.11
     exile
    1.00
     captivity
    0.98
     afar
    0.94
     abroad
    0.91
     hiber
    0.89
     hiatus
    0.84
     vacation
    0.84
     nowhere
    0.79
     obscurity
    0.77
    Activations Density 0.091%

    No Known Activations