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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. 4-RES-JB
    11. 13535
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    Explanations

    positive adjectives expressing strong approval or admiration

    oai_token-act-pair · gpt-3.5-turbo

    positive adjectives describing people, experiences, or things

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

    No Comments

    Negative Logits
    avis
    -0.77
    adr
    -0.77
    pex
    -0.74
    idon
    -0.69
    gemony
    -0.69
    breakers
    -0.68
    pai
    -0.68
    eree
    -0.68
    yer
    -0.65
    ©¶æ
    -0.65
    POSITIVE LOGITS
     earthqu
    0.78
    ally
    0.78
     leaps
    0.76
     asset
    0.76
     opportunity
    0.74
     teamwork
    0.74
     achievement
    0.73
     strides
    0.72
     insight
    0.72
    astically
    0.72
    Activations Density 0.023%

    No Known Activations