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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. 3-RES-JB
    11. 12005
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    Explanations

    hyperlinks or mentions of 'WR'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "WR," likely related to rankings or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -0.83
     Maid
    -0.72
    omorphic
    -0.66
     sidx
    -0.65
     revital
    -0.64
     Bulgar
    -0.62
    arial
    -0.60
    urn
    -0.60
     booking
    -0.59
     crowds
    -0.58
    POSITIVE LOGITS
    ONG
    1.11
    WR
    0.96
    ACK
    0.94
    ATH
    0.92
    MJ
    0.90
    IVES
    0.87
    EST
    0.86
    NER
    0.86
    PN
    0.84
    ivers
    0.84
    Activations Density 0.007%

    No Known Activations