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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. 9-RES-JB
    11. 5709
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    Explanations

    indefinite articles 'a' or 'an'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the articles "a" and "an" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tanz
    -0.68
     sadd
    -0.68
     PID
    -0.66
     ank
    -0.66
     Prompt
    -0.64
     Inspection
    -0.63
     Twe
    -0.63
     Wag
    -0.62
     Explosive
    -0.61
     warr
    -0.60
    POSITIVE LOGITS
    esthetic
    1.10
    ria
    1.08
    ural
    1.05
    pron
    1.04
    iling
    1.02
    ces
    1.01
    athy
    1.00
    versive
    0.99
    esthes
    0.99
    emic
    0.99
    Activations Density 0.087%

    No Known Activations