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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. 5-RES-JB
    6. 14214
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    INDEX
    Explanations

    commands or instructions to perform specific actions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating future actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.75
    Newsletter
    -0.73
    ocular
    -0.70
    JD
    -0.69
    foreseen
    -0.67
    gn
    -0.66
    Rex
    -0.64
     Romeo
    -0.64
    Plan
    -0.63
    licted
    -0.63
    POSITIVE LOGITS
     be
    1.13
     gladly
    1.07
     suffice
    1.06
     doubtless
    1.04
     probably
    1.04
     undoubtedly
    1.04
     definitely
    1.01
     ALWAYS
    0.97
     surely
    0.97
     likely
    0.96
    Activations Density 0.185%

    No Known Activations