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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. 7595
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    Explanations

    some numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics related to specific data points

    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
     Flavoring
    -0.98
     Pwr
    -0.82
     Situation
    -0.65
     mosqu
    -0.65
    Interstitial
    -0.64
    ãĤ¤ãĥĪ
    -0.63
     metab
    -0.62
     circumst
    -0.62
     Rivals
    -0.62
    imaru
    -0.60
    POSITIVE LOGITS
    ers
    1.24
    eenth
    1.09
    er
    1.08
    ership
    1.02
    ing
    0.98
    ed
    0.93
    een
    0.91
    ial
    0.82
    racted
    0.81
    inis
    0.80
    Activations Density 0.074%

    No Known Activations