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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. 4-RES-JB
    11. 10985
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    Explanations

    mentions of renovation and related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to renovation and construction activities

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

    No Comments

    Negative Logits
     supra
    -0.71
    DN
    -0.68
     PRES
    -0.65
    tale
    -0.65
    Pa
    -0.63
     Palin
    -0.62
    poll
    -0.61
    corn
    -0.61
    SON
    -0.61
    reme
    -0.61
    POSITIVE LOGITS
     renovation
    1.23
     renovations
    1.10
     remod
    1.02
     renov
    1.00
     refurb
    0.86
    xual
    0.85
    eatures
    0.82
    ajo
    0.81
     renovated
    0.80
    issance
    0.74
    Activations Density 0.030%

    No Known Activations