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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. 1-RES-JB
    11. 6600
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    Explanations

    adjectives related to characteristics or states that are subject to change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to variables and their reliability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erva
    -0.83
    ovie
    -0.82
    rams
    -0.80
    romy
    -0.77
    yout
    -0.71
    strip
    -0.70
    brance
    -0.68
    arij
    -0.68
    hra
    -0.67
    rompt
    -0.66
    POSITIVE LOGITS
    iable
    1.48
    iability
    1.12
     veter
    0.86
    itability
    0.82
    iously
    0.82
    CLASSIFIED
    0.79
    ties
    0.76
     conclud
    0.75
    iott
    0.75
    Deal
    0.74
    Activations Density 0.011%

    No Known Activations