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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. 4-RES-JB
    11. 4715
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    Explanations

    adjectives describing size or quantity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to size and rarity

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

    No Comments

    Negative Logits
    aleb
    -0.74
    uncture
    -0.66
    tein
    -0.65
    ourage
    -0.65
    irit
    -0.65
    ederal
    -0.64
    Bat
    -0.62
    roots
    -0.61
    bey
    -0.60
    mosp
    -0.60
    POSITIVE LOGITS
     enough
    1.05
    arily
    0.81
    ãĥ¼ãĤ¯
    0.76
    nell
    0.76
     Ichigo
    0.72
    aneously
    0.69
     surpr
    0.69
     Enough
    0.67
     JPM
    0.66
    enough
    0.65
    Activations Density 0.583%

    No Known Activations