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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. 20622
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    INDEX
    Explanations

    adverbs or adverbial phrases describing intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey uncertainty or negation

    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
    catentry
    -0.73
    LIN
    -0.70
     Almighty
    -0.69
    MAC
    -0.64
     Naples
    -0.63
    Vert
    -0.59
    Stars
    -0.58
    Kings
    -0.58
    Mag
    -0.58
    Decre
    -0.57
    POSITIVE LOGITS
     anymore
    1.01
    ymes
    0.78
     anywhere
    0.78
     bothered
    0.78
     any
    0.74
     bother
    0.72
     nor
    0.70
    ibe
    0.69
     Enough
    0.68
     anybody
    0.68
    Activations Density 0.364%

    No Known Activations