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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. 3-RES-JB
    11. 9679
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    Explanations

    references to technology or specific features found in electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Touch" technology, particularly in relation to Apple products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.85
    etheless
    -0.82
    adiator
    -0.73
    ormal
    -0.73
     [|
    -0.72
    issued
    -0.71
    д
    -0.70
    etheus
    -0.68
    abwe
    -0.67
    committee
    -0.67
    POSITIVE LOGITS
    stones
    1.00
    Arcade
    1.00
    stone
    0.96
    pad
    0.80
    fing
    0.80
    Tap
    0.79
    downs
    0.79
     touch
    0.79
    ables
    0.78
     Touch
    0.76
    Activations Density 0.010%

    No Known Activations