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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. 3-RES-JB
    11. 17224
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    INDEX
    Explanations

    words or phrases related to behaviors or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of behavior

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    vu
    -0.80
    kos
    -0.72
    endiary
    -0.71
    ixed
    -0.70
    vy
    -0.69
    sis
    -0.69
    shall
    -0.69
    yu
    -0.68
    inen
    -0.68
    milo
    -0.64
    POSITIVE LOGITS
     behaviors
    1.12
     behavior
    1.11
    avior
    1.09
     modification
    1.06
     Behavior
    1.01
     behaviours
    0.99
     behavi
    0.97
     behaviour
    0.95
    behavior
    0.91
     patterns
    0.86
    Activations Density 0.012%

    No Known Activations