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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. 2-RES-JB
    11. 19492
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    Explanations

    mentions of specific square footage measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to square footage measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esi
    -0.71
    utations
    -0.68
    ogy
    -0.67
     pomp
    -0.67
    essage
    -0.67
     pav
    -0.65
    eree
    -0.64
     eyebrows
    -0.64
    abad
    -0.64
     vengeance
    -0.63
    POSITIVE LOGITS
    sburgh
    0.92
    姫
    0.89
    ¼
    0.80
    vised
    0.79
    fitting
    0.78
    ¾
    0.78
    SPONSORED
    0.76
    veyard
    0.76
    BLIC
    0.76
    fit
    0.76
    Activations Density 0.037%

    No Known Activations