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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. 9431
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    Explanations

    numeric values related to quantities or rates

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to average metrics expressed as "per" followed by a quantifiable unit

    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
     GOODMAN
    -0.75
    ARDIS
    -0.73
    enegger
    -0.72
     Ruk
    -0.68
    hound
    -0.67
     Unic
    -0.66
    MpServer
    -0.64
     Ic
    -0.63
    OHN
    -0.62
     Architects
    -0.60
    POSITIVE LOGITS
     capita
    1.25
    ishable
    1.01
    tains
    1.00
    malink
    0.91
    severe
    0.90
    mitting
    0.86
    uvian
    0.86
    mits
    0.84
    ascal
    0.82
    missive
    0.80
    Activations Density 0.033%

    No Known Activations