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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15780
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    INDEX
    Explanations

    positive adjectives that denote approval or success

    oai_token-act-pair · gpt-3.5-turbo

    emotional responses and subjective evaluations of situations

    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
    OTUS
    -0.67
     Allies
    -0.66
     remission
    -0.65
    hari
    -0.65
    velt
    -0.63
     sane
    -0.63
     ((
    -0.62
    llah
    -0.61
     coherent
    -0.61
    dayName
    -0.61
    POSITIVE LOGITS
     hindered
    1.22
     lacked
    1.16
     hampered
    1.15
     drawbacks
    1.15
     cautioned
    1.08
     downside
    1.06
     lacks
    1.06
     struggled
    1.04
     shortcomings
    1.03
     disappoint
    1.03
    Activations Density 0.607%

    No Known Activations