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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. 2754
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    Explanations

    references to different phases of plans or projects

    oai_token-act-pair · gpt-3.5-turbo

    references to different phases or stages within a process

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    riad
    -0.80
     Cosponsors
    -0.76
    ãĥ¤
    -0.75
    ILLE
    -0.72
    byn
    -0.72
    ilial
    -0.71
    inately
    -0.70
    llah
    -0.69
     glim
    -0.68
    reddits
    -0.68
    POSITIVE LOGITS
    hift
    0.84
    naire
    0.80
     transitions
    0.76
    ually
    0.76
    ogue
    0.73
     phase
    0.73
    tenance
    0.73
     phases
    0.72
    OPLE
    0.69
     Shift
    0.68
    Activations Density 0.040%

    No Known Activations