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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. 8-RES-JB
    11. 8182
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    Explanations

    terms related to numerical or scientific data values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Berry
    -0.77
    Pac
    -0.71
    FTWARE
    -0.64
    Shell
    -0.62
    Fed
    -0.62
    bender
    -0.61
    BOX
    -0.61
    horn
    -0.60
    Ped
    -0.59
    birds
    -0.59
    POSITIVE LOGITS
     least
    1.27
    onement
    1.22
    abase
    1.03
    las
    1.02
    rium
    1.00
    rial
    0.98
    roph
    0.89
     stake
    0.87
    oning
    0.86
     dusk
    0.85
    Activations Density 0.189%

    No Known Activations