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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. 3616
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    Explanations

    sequences of numbers with potential significance or patterns, particularly involving percentages and projective language

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data, particularly statistics or metrics related to performance

    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
     union
    -0.60
    atten
    -0.56
    ··
    -0.55
    >"
    -0.55
    hiba
    -0.54
    pill
    -0.53
     subst
    -0.53
    belt
    -0.52
     adjustment
    -0.52
    pen
    -0.50
    POSITIVE LOGITS
     Various
    0.68
    ortium
    0.67
     Tanks
    0.63
    à©
    0.63
     partName
    0.62
     Lastly
    0.62
    recated
    0.59
    VERTISEMENT
    0.59
     Orche
    0.59
     Cosponsors
    0.58
    Activations Density 0.330%

    No Known Activations