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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. 6-RES-JB
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    references to pit bulls

    oai_token-act-pair · gpt-3.5-turbo

    references to pit bulls and their related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGH
    -0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
     Lauder
    -0.68
     Idle
    -0.65
    lihood
    -0.64
     Feinstein
    -0.62
     Carbuncle
    -0.61
    issance
    -0.61
    ALTH
    -0.61
    RAFT
    -0.59
    POSITIVE LOGITS
    iful
    1.27
    iless
    1.19
    ifully
    1.18
    cair
    1.15
    cher
    1.04
    adium
    0.93
    oco
    0.89
     Osw
    0.89
    bull
    0.85
    uit
    0.83
    Activations Density 0.024%

    No Known Activations