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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. 23396
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    Explanations

    instances where something is being documented or recorded

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "record" and its variations

    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
    adin
    -0.82
    pour
    -0.69
    acio
    -0.67
     assum
    -0.66
     defin
    -0.65
    erva
    -0.64
    hyd
    -0.64
    osi
    -0.64
    Daddy
    -0.63
    htar
    -0.63
    POSITIVE LOGITS
     footage
    0.81
     LIVE
    0.75
     audio
    0.73
     sessions
    0.71
     conversations
    0.71
     webcam
    0.69
     microphones
    0.69
     recording
    0.67
     recordings
    0.67
     taped
    0.67
    Activations Density 0.110%

    No Known Activations