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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. 6-RES-JB
    11. 1685
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    Explanations

    numerical ratings or scores in a standardized format

    oai_token-act-pair · gpt-3.5-turbo

    numerical ratings or scores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behavi
    -0.80
     sustainability
    -0.77
     arson
    -0.74
     proactive
    -0.72
    etheless
    -0.71
     architectural
    -0.71
     salty
    -0.70
    ogether
    -0.70
     antidepress
    -0.70
     handwriting
    -0.69
    POSITIVE LOGITS
    99
    1.13
    00
    1.07
    jpg
    1.06
    jar
    1.04
    htm
    1.03
    5
    1.03
    75
    1.01
    html
    0.99
    0
    0.98
    05
    0.97
    Activations Density 0.102%

    No Known Activations