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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. 10-RES-JB
    11. 2302
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    INDEX
    Explanations

    just the keyword "Ep" with different numbers following it

    oai_token-act-pair · gpt-3.5-turbo

    referrals to episodes in a serialized narrative or media series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FUL
    -0.79
     unauthorized
    -0.71
    LESS
    -0.67
     Pru
    -0.66
     clearance
    -0.65
     humming
    -0.63
     Sunderland
    -0.62
    ^^^^
    -0.62
     Polk
    -0.62
    hips
    -0.61
    POSITIVE LOGITS
    iphany
    1.72
    hemer
    1.71
    isodes
    1.50
    iscopal
    1.43
    onymous
    1.40
    istle
    1.35
    igraph
    1.27
    iph
    1.20
    onym
    1.16
    idem
    1.15
    Activations Density 0.019%

    No Known Activations