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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. 13504
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    Explanations

    references to cell phones and related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to cell phones and mobile devices

    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
    sole
    -0.70
    thinking
    -0.68
    rix
    -0.68
    forces
    -0.68
    empt
    -0.66
    çķ
    -0.65
    olphin
    -0.65
    Ship
    -0.63
    shr
    -0.63
    rect
    -0.63
    POSITIVE LOGITS
     rang
    0.78
     transcripts
    0.77
     signals
    0.76
     microphones
    0.76
     subscribers
    0.73
     subscriptions
    0.70
     Caller
    0.67
     transmissions
    0.67
     contacts
    0.67
     networks
    0.66
    Activations Density 0.062%

    No Known Activations