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    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. 1616
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    Explanations

    words related to medical positions and titles, such as "MD" and "surgeons"

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "MD" in various contexts, likely indicating medical doctors or degrees

    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
    stall
    -0.85
    acters
    -0.82
    flies
    -0.76
    neau
    -0.75
    nel
    -0.72
    nces
    -0.72
    angered
    -0.72
    asonable
    -0.72
    ãĥ¼ãĥ³
    -0.71
    berus
    -0.71
    POSITIVE LOGITS
    iamond
    0.94
    ouble
    0.83
    aughter
    0.82
    iate
    0.81
    MD
    0.73
    ayer
    0.72
    ORPG
    0.71
    eeds
    0.70
    ART
    0.69
    mology
    0.68
    Activations Density 0.014%

    No Known Activations