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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
    11. 3649
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    Explanations

    terms related to practical applications or implementations

    oai_token-act-pair · gpt-3.5-turbo

    words related to practical applications or practices

    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
     ward
    -0.70
     Bakr
    -0.65
     blanket
    -0.64
    ktop
    -0.64
     conversion
    -0.63
     dwelling
    -0.62
     excuse
    -0.62
     casting
    -0.61
     Greeks
    -0.60
     Tome
    -0.60
    POSITIVE LOGITS
    ical
    1.36
    icing
    1.22
    ically
    1.21
    icians
    1.21
    ounced
    1.20
    icals
    1.14
    ician
    1.06
    icia
    1.03
    icial
    1.02
    iced
    1.01
    Activations Density 0.019%

    No Known Activations