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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. 10-RES-JB
    11. 10473
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    INDEX
    Explanations

    phrases emphasizing the intensity of adjectives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "very."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Contracts
    -0.72
    uggest
    -0.69
     Compliance
    -0.67
     âĵĺ
    -0.66
     Cases
    -0.63
     FTA
    -0.60
     elsewhere
    -0.60
    lication
    -0.59
     waivers
    -0.58
     Alz
    -0.58
    POSITIVE LOGITS
     very
    1.01
     VERY
    0.96
     uh
    0.95
    very
    0.90
    ivably
    0.83
     um
    0.81
    ribly
    0.80
    nery
    0.71
     awfully
    0.71
    itely
    0.70
    Activations Density 0.016%

    No Known Activations