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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. 3-RES-JB
    11. 3743
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    Explanations

    words related to providing analysis or commentary

    oai_token-act-pair · gpt-3.5-turbo

    references to commentary in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rir
    -0.77
    enic
    -0.72
    rice
    -0.71
    wikipedia
    -0.70
    chen
    -0.68
    illusion
    -0.67
    negie
    -0.66
    bis
    -0.66
    luck
    -0.65
    chrom
    -0.64
    POSITIVE LOGITS
     commentary
    1.05
    jad
    0.73
     commentator
    0.71
     guiActiveUn
    0.70
    spection
    0.69
     pane
    0.66
     Commentary
    0.65
     interpre
    0.64
     flourish
    0.63
    ftime
    0.63
    Activations Density 0.016%

    No Known Activations