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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. 14024
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to functionality and type of service

    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
    lees
    -1.02
    stones
    -0.97
    links
    -0.87
    aters
    -0.87
    classes
    -0.85
    clips
    -0.84
    bits
    -0.84
    zees
    -0.84
    assies
    -0.83
    hops
    -0.83
    POSITIVE LOGITS
     version
    1.07
     solution
    0.97
     affair
    0.96
     regimen
    0.94
     standpoint
    0.94
     situation
    0.93
     environment
    0.91
     perspective
    0.90
     evaluation
    0.87
     approximation
    0.86
    Activations Density 0.359%

    No Known Activations