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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. 3941
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    INDEX
    Explanations

    words related to influence, control, and shaping

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to influence and shaping outcomes or behaviors

    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
    BuyableInstoreAndOnline
    -0.79
    osaurs
    -0.79
    False
    -0.72
    audi
    -0.70
    ubs
    -0.69
    ©¶æ¥µ
    -0.69
    Sham
    -0.69
    sels
    -0.68
    kies
    -0.67
    iss
    -0.66
    POSITIVE LOGITS
     how
    1.41
     shaping
    1.16
     outcomes
    1.16
     whether
    1.12
     perceptions
    1.10
     decisions
    1.09
     outcome
    1.03
     destiny
    1.02
     behaviour
    1.01
     behavior
    0.98
    Activations Density 0.197%

    No Known Activations