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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. 6-RES-JB
    6. 16080
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    INDEX
    Explanations

    phrases related to things being full or filled with something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "filled" and its variations, indicating contexts involving abundance or fullness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LM
    -0.67
    Norm
    -0.67
    andum
    -0.66
    appro
    -0.66
     isolate
    -0.64
    Hill
    -0.64
    isation
    -0.64
    utan
    -0.64
    nature
    -0.63
    rf
    -0.63
    POSITIVE LOGITS
     brim
    0.78
    gling
    0.74
    eals
    0.72
    erness
    0.72
     overflowing
    0.70
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.69
    ardless
    0.67
    uding
    0.67
    usion
    0.66
     orbs
    0.65
    Activations Density 0.036%

    No Known Activations