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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 2959
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    INDEX
    Explanations

    phrases related to psychological or behavioral conditioning

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to conditioning and indoctrination

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

    No Comments

    Negative Logits
    amen
    -0.70
     Fei
    -0.67
    annis
    -0.65
    gn
    -0.65
    gur
    -0.64
    paces
    -0.63
    Merit
    -0.62
    ð
    -0.62
     Dign
    -0.62
    Desk
    -0.61
    POSITIVE LOGITS
     indoctr
    1.09
     conditioning
    1.09
     conditioned
    1.06
     indo
    1.05
    washed
    0.91
    educ
    0.83
    washing
    0.81
     guiActiveUnfocused
    0.81
    eering
    0.81
     lockdown
    0.77
    Activations Density 0.054%

    No Known Activations