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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. 0-RES-JB
    6. 4556
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    Explanations

    phrases containing the title "Mr"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals with the title "Mr." followed by their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .–
    -0.75
    -+
    -0.70
    +
    -0.68
    itol
    -0.68
    esa
    -0.67
    +.
    -0.67
     [&
    -0.66
    asaki
    -0.65
    âľ
    -0.65
    âĢķ
    -0.63
    POSITIVE LOGITS
     Mr
    3.52
    Mr
    3.04
     Ms
    2.66
     Mrs
    2.47
    Mrs
    2.13
    Ms
    1.91
     Mister
    1.52
     Professor
    1.40
     Dr
    1.33
     Miss
    1.28
    Activations Density 0.026%

    No Known Activations