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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7086
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    Explanations

    words related to bureaucratic processes or procedures

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "red" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lank
    -0.80
    ILA
    -0.80
    Ö¼
    -0.78
    UGH
    -0.75
     4090
    -0.75
    agall
    -0.74
    gerald
    -0.74
    awaru
    -0.72
    ernel
    -0.71
    =-=-
    -0.71
    POSITIVE LOGITS
    rawn
    1.15
    oubt
    1.13
    neck
    1.12
    efined
    1.06
    iscovery
    1.01
    headed
    0.99
    iscovered
    0.99
    oub
    0.98
    iscover
    0.98
     velvet
    0.95
    Activations Density 0.022%

    No Known Activations