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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. 9-RES-JB
    11. 24229
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    Explanations

    specific financial numbers and terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the end-of-text token indicating separate entities or descriptions without specific context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     accord
    -0.53
    Ware
    -0.53
     Seym
    -0.52
    cture
    -0.47
    bucks
    -0.47
    Category
    -0.46
     Sutherland
    -0.46
     Colomb
    -0.46
    herer
    -0.46
     Pavilion
    -0.45
    POSITIVE LOGITS
     alike
    0.90
     thereof
    0.89
     thereafter
    0.82
     thereto
    0.76
     respectively
    0.73
     consequ
    0.71
    cellaneous
    0.70
     accordingly
    0.70
    axter
    0.67
     therein
    0.63
    Activations Density 0.465%

    No Known Activations