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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. 9-RES-JB
    11. 11394
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    INDEX
    Explanations

    phrases related to action or implementation

    oai_token-act-pair · gpt-3.5-turbo

    instances of words related to actions being properly applied or enacted

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    whatever
    -0.62
    ajo
    -0.62
     Vaughan
    -0.61
     Vie
    -0.60
     Ethiopia
    -0.58
     Filip
    -0.58
    feat
    -0.56
    eah
    -0.56
     Baal
    -0.56
    Hop
    -0.55
    POSITIVE LOGITS
     properly
    1.11
     correctly
    1.00
     individually
    0.82
     perpend
    0.74
     appropriately
    0.73
     incorrectly
    0.72
     improperly
    0.70
     aloud
    0.70
    urally
    0.69
     together
    0.69
    Activations Density 0.102%

    No Known Activations