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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. 0-RES-JB
    11. 2360
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    Explanations

    adjectives ending in '-ary'

    oai_token-act-pair · gpt-3.5-turbo

    words related to arbitrariness or randomness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prosper
    -0.69
     Vale
    -0.66
    éĹĺ
    -0.64
     liquid
    -0.64
     Piet
    -0.63
     flourish
    -0.62
     contender
    -0.61
    ells
    -0.59
     inhibitor
    -0.59
     redeem
    -0.58
    POSITIVE LOGITS
    rary
    4.27
    rarily
    2.65
    ewski
    1.53
    raph
    1.16
    bage
    1.13
    emporary
    1.02
    vernment
    0.99
    anon
    0.94
     Wrong
    0.90
     Unsure
    0.89
    Activations Density 0.046%

    No Known Activations