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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    call-related dialogue instances

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Call" with high frequency

    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
     squares
    -0.70
     flowing
    -0.67
     treasure
    -0.66
     swirling
    -0.65
     concent
    -0.65
     swirl
    -0.64
     material
    -0.63
     birthplace
    -0.63
     athe
    -0.62
     TB
    -0.62
    POSITIVE LOGITS
    Call
    3.71
    call
    2.07
     CALL
    1.77
     Call
    1.58
    Calling
    1.47
    Dial
    1.38
    calling
    1.30
    Dispatch
    1.29
    Contact
    1.28
     call
    1.28
    Activations Density 0.013%

    No Known Activations