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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. 6042
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    Explanations

    occurrences of the word "low" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to low quantities or lower levels

    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
    andise
    -0.82
    tnc
    -0.77
     Chaser
    -0.71
    iott
    -0.69
     Ashe
    -0.68
     Disorder
    -0.66
    ADRA
    -0.64
    greg
    -0.64
     XD
    -0.62
     Remastered
    -0.61
    POSITIVE LOGITS
    brow
    1.06
     hanging
    0.86
    ered
    0.86
     (<
    0.85
    ball
    0.85
     calorie
    0.85
    down
    0.84
     profile
    0.83
    enthal
    0.82
    profile
    0.79
    Activations Density 0.056%

    No Known Activations