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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. 7-RES-JB
    11. 11558
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    Explanations

    lack of response or denial of requests/comments

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "did" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mare
    -0.71
    lined
    -0.71
    liner
    -0.71
    case
    -0.71
    mares
    -0.70
     Dise
    -0.70
    stood
    -0.69
    hog
    -0.68
    lining
    -0.66
    arb
    -0.64
    POSITIVE LOGITS
    actic
    1.02
    pez
    0.93
     indeed
    0.91
     manage
    0.87
     not
    0.82
    anos
    0.80
    herty
    0.79
    oms
    0.78
    ppel
    0.76
    nt
    0.76
    Activations Density 0.089%

    No Known Activations