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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. 736
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    Explanations

    specific mentions of actions and events received by individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of received communications or official documents

    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
     havoc
    -0.68
    agate
    -0.67
     Butterfly
    -0.63
     cafes
    -0.63
     Doors
    -0.62
     eras
    -0.62
    istor
    -0.61
    upid
    -0.61
     Hide
    -0.60
     axis
    -0.60
    POSITIVE LOGITS
     permission
    0.78
    èĢħ
    0.77
    使
    0.75
     certification
    0.72
     brunt
    0.71
    loads
    0.71
    olicited
    0.70
     blessing
    0.70
     REPORT
    0.69
     approval
    0.68
    Activations Density 0.182%

    No Known Activations