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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. 19669
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    Explanations

    content related to the design and purpose of various products and systems

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating design specifications or intended purposes

    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
    natureconservancy
    -0.84
    achus
    -0.72
     Warrant
    -0.70
    SPONSORED
    -0.70
    nown
    -0.69
     Unsure
    -0.68
    ahime
    -0.65
     Appears
    -0.62
     TAMADRA
    -0.62
    ifer
    -0.61
    POSITIVE LOGITS
    ueller
    0.77
    ertodd
    0.70
    DEBUG
    0.67
     secrecy
    0.62
     satir
    0.61
     mould
    0.60
    creen
    0.59
    aundering
    0.59
     shielding
    0.58
     parody
    0.57
    Activations Density 0.191%

    No Known Activations