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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. 1-RES-JB
    11. 7413
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    Explanations

    phrases related to a large quantity or variety of something

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of abundance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hiba
    -0.72
    fax
    -0.69
    patient
    -0.67
    edge
    -0.66
    Doctors
    -0.65
    WAR
    -0.64
    king
    -0.64
    iatric
    -0.64
    since
    -0.64
    INTON
    -0.63
    POSITIVE LOGITS
     abundance
    1.16
    ĸļ
    0.88
    ãĥ¼ãĥĨãĤ£
    0.86
    ãĤ¼ãĤ¦ãĤ¹
    0.86
    efully
    0.85
    icity
    0.84
     abund
    0.82
     unlaw
    0.82
     thereof
    0.79
    iful
    0.78
    Activations Density 0.007%

    No Known Activations