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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. 7990
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    INDEX
    Explanations

    instances where something is mandatory or requested

    oai_token-act-pair · gpt-3.5-turbo

    instances of the concept of requirements or obligations

    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
    vironment
    -0.94
     Sack
    -0.72
    apest
    -0.72
    bench
    -0.68
    bitious
    -0.68
    edo
    -0.67
    stead
    -0.66
    gdala
    -0.65
    cow
    -0.64
    ocent
    -0.64
    POSITIVE LOGITS
     obe
    0.78
     prerequisite
    0.77
     unanim
    0.74
     aback
    0.73
     confir
    0.72
     obey
    0.71
    Reviewer
    0.69
     deviations
    0.69
     minimum
    0.68
     mandatory
    0.68
    Activations Density 0.027%

    No Known Activations