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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. 13461
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    Explanations

    references to a "pool."

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of pools

    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
    rians
    -0.74
    NESS
    -0.72
    rian
    -0.71
    eme
    -0.70
    DonaldTrump
    -0.64
     Realms
    -0.64
    orial
    -0.64
    sbm
    -0.60
    ®
    -0.59
     Cel
    -0.59
    POSITIVE LOGITS
     pool
    1.11
    pool
    1.05
    esville
    1.03
     Pool
    0.96
     pools
    0.96
    eries
    0.89
    regate
    0.87
    side
    0.84
    hare
    0.80
    erves
    0.77
    Activations Density 0.028%

    No Known Activations