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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. 3474
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    INDEX
    Explanations

    references to numerical values, measurements, and statistics

    oai_token-act-pair · gpt-3.5-turbo

    the word "are" in various contexts

    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
    iates
    -0.72
    urry
    -0.71
    ossom
    -0.71
    onso
    -0.68
    oire
    -0.65
    ileaks
    -0.62
    osate
    -0.62
    cycle
    -0.61
    town
    -0.61
    speak
    -0.60
    POSITIVE LOGITS
    senal
    1.08
    wolves
    1.03
     hereby
    1.01
    wolf
    0.93
     not
    0.90
     supposed
    0.89
    nt
    0.89
     generally
    0.81
     also
    0.79
     definitely
    0.79
    Activations Density 0.362%

    No Known Activations