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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. 3-RES-JB
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    Explanations

    mentions of the word "Salon" in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to specific establishments, particularly salons and spas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.74
    ascript
    -0.70
    IBLE
    -0.69
    SON
    -0.69
    gravity
    -0.68
    NESS
    -0.67
    bear
    -0.67
    huge
    -0.66
    erry
    -0.63
    ilib
    -0.63
    POSITIVE LOGITS
     salon
    1.07
     Salon
    1.00
     Spa
    0.99
    apist
    0.77
     spa
    0.74
     therapists
    0.69
     maiden
    0.69
     exhib
    0.67
    ignt
    0.66
     waitress
    0.65
    Activations Density 0.020%

    No Known Activations