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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. 10-RES-JB
    11. 4357
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    Explanations

    phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     residential
    -0.78
     Ross
    -0.77
     calendar
    -0.76
     outdoor
    -0.75
     Mystic
    -0.74
     entry
    -0.74
     tabloid
    -0.73
     synthetic
    -0.73
     overcrowd
    -0.73
     rental
    -0.73
    POSITIVE LOGITS
    absolutely
    1.73
    never
    1.70
    could
    1.65
    probably
    1.64
    always
    1.63
    would
    1.60
    should
    1.60
    completely
    1.57
    really
    1.56
    didn
    1.56
    Activations Density 0.080%

    No Known Activations