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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. 15082
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    Explanations

    verbs related to observation or identification

    oai_token-act-pair · gpt-3.5-turbo

    words related to identifying or noticing something

    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
    icum
    -0.87
    orld
    -0.75
    export
    -0.75
    uploads
    -0.73
    ithing
    -0.73
    qs
    -0.71
    stead
    -0.69
    ework
    -0.68
     stip
    -0.68
     Mandatory
    -0.68
    POSITIVE LOGITS
    uate
    0.95
     whats
    0.87
     hairs
    0.82
    ibly
    0.81
    lessly
    0.75
     him
    0.74
     glimps
    0.74
     how
    0.73
     yourself
    0.72
     ourselves
    0.71
    Activations Density 0.128%

    No Known Activations