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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. 4-RES-JB
    11. 6513
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    INDEX
    Explanations

    keywords related to physical objects or concepts of importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    references to keys, whether literal or metaphorical

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

    No Comments

    Negative Logits
    ATIONAL
    -0.78
     Vide
    -0.68
     Colleges
    -0.66
    renheit
    -0.64
    asca
    -0.64
    Relations
    -0.62
     PHOTO
    -0.62
     Advertisement
    -0.62
    ALLY
    -0.62
    ews
    -0.61
    POSITIVE LOGITS
    */(
    1.06
     keys
    1.05
    stroke
    0.95
    keys
    0.94
    holes
    0.92
    Keys
    0.86
    hole
    0.86
    erver
    0.83
    pressed
    0.80
     key
    0.79
    Activations Density 0.007%

    No Known Activations