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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. 11-RES-JB
    11. 22286
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    INDEX
    Explanations

    prepositions indicating a specific quantity or time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum quantity or threshold in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DonaldTrump
    -0.64
     Calling
    -0.59
    theless
    -0.56
    WER
    -0.54
    FTWARE
    -0.54
     dubbed
    -0.54
    ãĤ³
    -0.53
     ported
    -0.52
     relying
    -0.51
     adorned
    -0.51
    POSITIVE LOGITS
     least
    2.12
    onement
    1.36
    olls
    1.16
    yp
    1.12
    rial
    1.08
    las
    1.06
    roph
    1.01
    le
    1.01
    rox
    0.99
    hens
    0.94
    Activations Density 0.070%

    No Known Activations