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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. 9-RES-JB
    11. 19980
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    Explanations

    percentages or numerical values related to data

    oai_token-act-pair · gpt-3.5-turbo

    phrases concerning percentages and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©
    -0.75
    IRT
    -0.75
    ieties
    -0.71
    GBT
    -0.70
    icon
    -0.70
     Horizons
    -0.68
    ebus
    -0.68
    itans
    -0.67
    sic
    -0.66
    engeance
    -0.65
    POSITIVE LOGITS
     chance
    0.87
     percentage
    0.81
     (%)
    0.79
    pointer
    0.75
     percentages
    0.74
     quota
    0.70
     probability
    0.70
    ennial
    0.69
     degree
    0.69
     ABV
    0.68
    Activations Density 0.051%

    No Known Activations