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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. 15366
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    Explanations

    locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "for" used 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
    illin
    -0.71
    fleet
    -0.70
    plate
    -0.68
    Strange
    -0.67
    nil
    -0.66
    é¾
    -0.66
    mare
    -0.65
    âĶĢ
    -0.64
    Ohio
    -0.64
    awan
    -0.63
    POSITIVE LOGITS
    bidden
    1.28
     instance
    1.25
     example
    1.24
    geries
    1.14
    gery
    1.09
    gotten
    1.09
    ked
    1.06
     purposes
    1.05
     sale
    0.94
    aging
    0.94
    Activations Density 0.583%

    No Known Activations