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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. 6-RES-JB
    11. 16921
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    Explanations

    names of medical professionals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly professionals or authority figures in medical and academic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tumblr
    -0.60
     clubhouse
    -0.59
     womb
    -0.55
     Presidents
    -0.52
    Spoiler
    -0.51
     infall
    -0.50
     paycheck
    -0.50
     chicks
    -0.49
     uterus
    -0.49
     sequel
    -0.49
    POSITIVE LOGITS
    jit
    0.82
    berto
    0.77
     Levin
    0.76
     Nguyen
    0.75
     Kir
    0.74
     Zup
    0.73
     Hos
    0.73
    uel
    0.72
     Doyle
    0.72
     Hass
    0.72
    Activations Density 0.639%

    No Known Activations