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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. 5728
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    Explanations

    phrases related to things remaining the same or unchanged

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stability and continuity

    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
    asio
    -0.85
    omaly
    -0.79
    udic
    -0.74
    ophys
    -0.69
    ueller
    -0.67
    ushima
    -0.67
    jah
    -0.67
    azine
    -0.66
    oras
    -0.65
    =-=-=-=-=-=-=-=-
    -0.64
    POSITIVE LOGITS
    NESS
    0.74
    cies
    0.69
    lihood
    0.65
    ©¶æ¥µ
    0.64
    ingly
    0.62
    aneously
    0.62
    aneous
    0.61
     except
    0.60
    cy
    0.60
    INGTON
    0.58
    Activations Density 0.104%

    No Known Activations