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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. 7-RES-JB
    11. 21608
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    INDEX
    Explanations

    prepositional phrases starting with "to" and followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional impact or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.71
     refunds
    -0.64
    calling
    -0.62
    arten
    -0.61
     routing
    -0.61
     deceptive
    -0.60
     diffusion
    -0.60
     indexes
    -0.59
     violations
    -0.58
     benefiting
    -0.58
    POSITIVE LOGITS
    ggles
    1.17
     behold
    1.00
     contemplate
    0.94
    pless
    0.91
     learn
    0.89
    ads
    0.89
    ffee
    0.89
     hear
    0.87
    adies
    0.87
    wered
    0.87
    Activations Density 0.148%

    No Known Activations