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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. 11-RES-JB
    11. 2498
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    Explanations

    phrases indicating a comparison of different aspects or qualities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" indicating the use of locations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iris
    -0.89
    llular
    -0.74
    ngth
    -0.74
    irl
    -0.72
    abouts
    -0.70
    untled
    -0.66
    omore
    -0.65
    awei
    -0.64
    0000000000000000
    -0.63
    kamp
    -0.62
    POSITIVE LOGITS
     hindsight
    1.44
     retrospect
    1.32
     terms
    1.30
     itself
    1.22
     comparison
    1.15
     spite
    1.03
     regards
    1.00
     disguise
    0.98
    asm
    0.95
    efficiency
    0.92
    Activations Density 0.135%

    No Known Activations