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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. 1-RES-JB
    11. 5284
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    Explanations

    phrases related to large-scale operations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to large-scale entities or operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stitial
    -0.71
    ieu
    -0.70
    ĪĴ
    -0.69
    cair
    -0.66
    phe
    -0.65
    ournal
    -0.64
    luaj
    -0.63
    pron
    -0.62
    vae
    -0.61
     Kers
    -0.61
    POSITIVE LOGITS
    scale
    1.21
     scale
    1.06
    Scale
    0.96
    itized
    0.82
    ãĤ¼ãĤ¦ãĤ¹
    0.80
     scales
    0.80
     unbeliev
    0.78
     perspect
    0.76
     Scale
    0.73
     invari
    0.73
    Activations Density 0.008%

    No Known Activations