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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. 11189
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    Explanations

    adjectives describing extreme characteristics or qualities, such as 'most', 'even', 'beautiful', 'cynical', 'devout', and 'courageous'

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms that express extremity or intensity in opinions and characteristics

    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
    zik
    -0.70
    rh
    -0.65
    ription
    -0.65
    ovo
    -0.65
    zie
    -0.64
    tch
    -0.64
    mos
    -0.63
    binding
    -0.63
    apter
    -0.62
    ansson
    -0.62
    POSITIVE LOGITS
     curs
    0.86
     semblance
    0.73
     mundane
    0.72
     superficial
    0.68
    idious
    0.68
     mortal
    0.68
     slightest
    0.68
     grunt
    0.68
     imperfect
    0.66
     rudimentary
    0.65
    Activations Density 0.097%

    No Known Activations