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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. 8-RES-JB
    11. 2193
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    Explanations

    phrases related to challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences, challenges, and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Exit
    -0.85
    Interstitial
    -0.67
     Anyway
    -0.66
     originals
    -0.63
     tumble
    -0.63
     hugs
    -0.60
     onions
    -0.59
    inventoryQuantity
    -0.59
     });
    -0.59
     ¯
    -0.58
    POSITIVE LOGITS
    estern
    0.76
    ceivable
    0.72
    fold
    0.71
    velt
    0.66
    ortium
    0.66
    redit
    0.64
     incentiv
    0.63
    orget
    0.62
    published
    0.62
    disc
    0.61
    Activations Density 0.887%

    No Known Activations