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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. 16592
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    INDEX
    Explanations

    specific mentions of the word "condemn" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases and terms

    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
    kaya
    -0.71
    chy
    -0.66
    ches
    -0.65
     thumbs
    -0.61
     Brilliant
    -0.61
     Lans
    -0.61
    ngth
    -0.59
     Pew
    -0.59
     Werewolf
    -0.58
    DIR
    -0.58
    POSITIVE LOGITS
    ominium
    1.39
    itional
    1.32
    ensed
    1.30
    ensation
    1.29
    enser
    1.26
    uctor
    1.25
    itions
    1.22
    ensing
    1.18
    emn
    1.17
    itionally
    1.11
    Activations Density 0.025%

    No Known Activations