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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. 7-RES-JB
    11. 283
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    Explanations

    mentions of medical degrees such as "MD" and "PhD."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of medical degrees or credentials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stall
    -0.88
    nel
    -0.82
    =-=-=-=-=-=-=-=-
    -0.77
    asonable
    -0.73
    flies
    -0.71
    stal
    -0.70
    acters
    -0.69
    toggle
    -0.69
    ça
    -0.69
    istic
    -0.69
    POSITIVE LOGITS
    iamond
    1.05
    ouble
    0.88
    aughter
    0.83
    iate
    0.79
    NF
    0.76
    IVER
    0.76
    ART
    0.74
    enture
    0.73
    essor
    0.72
    ynasty
    0.72
    Activations Density 0.027%

    No Known Activations