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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. 2-RES-JB
    11. 6993
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    Explanations

    mentions of individuals at the junior level in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to junior-level activities or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igation
    -0.84
    atche
    -0.83
    ainer
    -0.79
    Ĥİ
    -0.79
    atic
    -0.77
    eele
    -0.77
    ãĥķãĤ©
    -0.76
    apo
    -0.74
    agen
    -0.72
    adr
    -0.72
    POSITIVE LOGITS
    iors
    0.80
     citiz
    0.77
     mosqu
    0.73
    IOR
    0.73
     junior
    0.73
    ority
    0.72
     soph
    0.71
    jun
    0.70
    iate
    0.67
     jun
    0.65
    Activations Density 0.013%

    No Known Activations