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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. 7-RES-JB
    6. 20255
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    INDEX
    Explanations

    adjectives related to positive attributes

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing positive or favorable qualities

    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
    çīĪ
    -0.74
    ulhu
    -0.72
     Arabian
    -0.68
     Noir
    -0.66
     exacerb
    -0.63
    pora
    -0.63
     turmoil
    -0.62
     homelessness
    -0.62
     veil
    -0.61
     incred
    -0.60
    POSITIVE LOGITS
    sounding
    1.53
    looking
    1.33
    enough
    1.31
    minded
    1.27
    sized
    1.09
    nat
    1.02
    named
    1.00
    hearted
    0.98
    tem
    0.98
    guy
    0.98
    Activations Density 0.076%

    No Known Activations