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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. 11-RES-JB
    11. 11636
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    Explanations

    phrases or words emphasizing significance, importance, or extremity

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "very" as an intensifier in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alle
    -0.67
    Subscribe
    -0.63
    yip
    -0.63
    urion
    -0.61
    hetti
    -0.60
    Cook
    -0.60
    always
    -0.60
    Ĩ
    -0.59
    dj
    -0.58
     Fever
    -0.57
    POSITIVE LOGITS
     essence
    0.95
     definition
    0.91
     existence
    0.88
     beginnings
    0.81
     embodiment
    0.81
     notion
    0.81
     least
    0.80
     poorest
    0.79
    thing
    0.79
     thing
    0.79
    Activations Density 0.031%

    No Known Activations