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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. 21794
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    Explanations

    adjective words with 'aw' or 'es' in them

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "aw" and variations related to awe or admiration

    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
     Mub
    -0.71
    cision
    -0.64
     Municipal
    -0.63
    phrine
    -0.61
     Fract
    -0.61
     Invaders
    -0.61
     Townsend
    -0.60
     Prin
    -0.60
     Azerbaijan
    -0.60
     Luther
    -0.60
    POSITIVE LOGITS
    kward
    1.44
    akens
    1.37
    akening
    1.21
    esome
    1.16
    aken
    1.13
    oln
    1.13
    ash
    1.06
    ake
    1.06
    ful
    1.04
    ritten
    1.00
    Activations Density 0.033%

    No Known Activations