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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. 4-RES-JB
    11. 1286
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    Explanations

    terms related to organizations or companies, particularly acronyms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of certain acronyms or organization abbreviations related to research or government entities

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

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.90
    ãĥķ
    -0.82
    ãĤ©
    -0.74
     unfocusedRange
    -0.74
    ÑĮ
    -0.71
    ãĤ¡
    -0.70
     PID
    -0.70
     wip
    -0.69
    iard
    -0.68
    ãĥ¼ãĥĨ
    -0.65
    POSITIVE LOGITS
    lymp
    1.13
    vernight
    1.10
    JO
    1.07
    zzi
    1.07
    OPS
    1.06
    tto
    1.04
    scill
    1.03
    XY
    1.02
    culus
    0.99
    ceans
    0.98
    Activations Density 0.023%

    No Known Activations