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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. 17872
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    Explanations

    statements expressing personal beliefs or faith

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing belief or conviction

    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
    soever
    -0.85
    killed
    -0.70
    CN
    -0.68
    zie
    -0.65
     aptly
    -0.64
    lip
    -0.63
    phy
    -0.63
    ener
    -0.63
    MAP
    -0.62
    pic
    -0.62
    POSITIVE LOGITS
    clus
    1.06
     miracles
    0.92
    clusions
    0.83
    abilities
    0.82
     spite
    0.82
    escap
    0.75
    aus
    0.75
    equality
    0.74
    effic
    0.72
     preserving
    0.71
    Activations Density 0.058%

    No Known Activations