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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. 7-RES-JB
    11. 23653
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    Explanations

    specific times indicated in a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" as a preposition indicating time or location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reditary
    -0.65
    isphere
    -0.63
    FTWARE
    -0.63
    plane
    -0.62
    chuk
    -0.61
    Tube
    -0.59
    biased
    -0.59
     prescriptions
    -0.58
     thereof
    -0.56
    selves
    -0.55
    POSITIVE LOGITS
     least
    1.04
    mosp
    1.04
    yp
    0.93
    onement
    0.90
    las
    0.88
    mega
    0.82
    hens
    0.81
    raz
    0.81
    acan
    0.78
    ention
    0.77
    Activations Density 0.036%

    No Known Activations