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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. 3816
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    Explanations

    words prefixed with "re"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the prefix "re" indicating repetition or return

    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
    BuyableInstoreAndOnline
    -0.85
     Beir
    -0.77
     Pebble
    -0.77
    DragonMagazine
    -0.75
     Zamb
    -0.67
     Phar
    -0.66
     Sammy
    -0.66
     Nest
    -0.66
     Korra
    -0.64
     Kafka
    -0.63
    POSITIVE LOGITS
    venge
    1.14
    actor
    1.13
    ached
    1.11
    becca
    1.11
    porter
    1.10
    asons
    1.03
    claim
    1.02
    versible
    1.02
    venue
    1.02
    leases
    1.00
    Activations Density 0.047%

    No Known Activations