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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. 13964
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    Explanations

    proper nouns starting with "Av"

    oai_token-act-pair · gpt-3.5-turbo

    words associated with a specific location or entity

    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
    reddits
    -0.76
     commissions
    -0.71
    */(
    -0.70
    ricting
    -0.64
     axes
    -0.63
     adv
    -0.63
     proxies
    -0.63
    hern
    -0.62
     quarters
    -0.60
     textbooks
    -0.60
    POSITIVE LOGITS
    vantage
    0.72
    dor
    0.71
    ILE
    0.70
    rium
    0.67
    orld
    0.66
    ment
    0.65
     Brill
    0.65
     Defeat
    0.64
    oli
    0.64
    atis
    0.63
    Activations Density 0.058%

    No Known Activations