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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. 13996
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    Explanations

    mentions of saving time or accessing recent notes

    oai_token-act-pair · gpt-3.5-turbo

    references to time-related concepts

    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
     Manor
    -0.81
    ility
    -0.70
    wn
    -0.68
    iance
    -0.67
    lov
    -0.67
    loo
    -0.66
    ooming
    -0.64
    mx
    -0.64
    clus
    -0.64
    aldi
    -0.63
    POSITIVE LOGITS
     warr
    0.81
     conduc
    0.73
     brim
    0.71
     benz
    0.71
     tsun
    0.68
     coerc
    0.68
     hemor
    0.67
     discontin
    0.67
     persecut
    0.65
    Ni
    0.65
    Activations Density 0.000%

    No Known Activations