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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. 38
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    INDEX
    Explanations

    the word "no" followed by a high number

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases indicating the absence or lack of something

    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
    dor
    -0.68
    dry
    -0.68
    sth
    -0.67
    staking
    -0.67
    rn
    -0.65
    ials
    -0.63
    elli
    -0.63
    lycer
    -0.59
    Untitled
    -0.59
    RAFT
    -0.59
    POSITIVE LOGITS
    xious
    1.07
     matter
    0.96
     longer
    0.91
    terday
    0.87
     indication
    0.87
    etheless
    0.87
     sooner
    0.84
     conceivable
    0.83
     doubt
    0.81
     conclusive
    0.80
    Activations Density 0.096%

    No Known Activations