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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. 2-RES-JB
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    INDEX
    Explanations

    terms related to addiction, particularly regarding drug addiction

    oai_token-act-pair · gpt-3.5-turbo

    references to addiction across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kov
    -0.73
    eor
    -0.72
    erial
    -0.71
    stand
    -0.69
    prints
    -0.67
     Klu
    -0.67
     Sie
    -0.66
     Shattered
    -0.65
     Opera
    -0.65
     Irving
    -0.65
    POSITIVE LOGITS
     addiction
    1.10
     addicted
    1.01
     relapse
    0.99
     addict
    0.97
     addicts
    0.89
    olescent
    0.86
     craving
    0.85
     gambling
    0.85
    olesc
    0.83
     binge
    0.82
    Activations Density 0.021%

    No Known Activations