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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. 6-RES-JB
    11. 4429
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    phrases or terms related to advocating or supporting a particular idea, theory, or cause

    oai_token-act-pair · gpt-3.5-turbo

    terms related to supporters or advocates of a particular idea or cause

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wonderland
    -0.71
     gorge
    -0.71
     Peninsula
    -0.64
     creek
    -0.63
     Abyss
    -0.61
     casualty
    -0.61
     peninsula
    -0.60
     occurrences
    -0.60
     coroner
    -0.60
     Moor
    -0.60
    POSITIVE LOGITS
    hetical
    1.05
    hesis
    0.99
    onents
    0.95
    heses
    0.92
    meier
    0.80
    lein
    0.80
     thereof
    0.79
    Supporters
    0.79
    eny
    0.77
    onent
    0.74
    Activations Density 0.064%

    No Known Activations