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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. 22529
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    Explanations

    phrases containing variations of the word "read"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "read" or its variations in the text

    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
    pload
    -0.83
    afort
    -0.73
    ño
    -0.72
    ascal
    -0.72
    Credit
    -0.70
    xon
    -0.70
    unity
    -0.66
    ortality
    -0.65
    Enlarge
    -0.65
    Truth
    -0.65
    POSITIVE LOGITS
     aloud
    1.30
    just
    0.99
     comprehension
    0.91
    ying
    0.84
    mitt
    0.84
    ied
    0.83
    dress
    0.81
    ILY
    0.80
     readings
    0.75
    reading
    0.74
    Activations Density 0.032%

    No Known Activations