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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. 0-RES-JB
    11. 647
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    Explanations

    names or terms related to "Cal" or "Calibration"

    oai_token-act-pair · gpt-3.5-turbo

    references to calcium

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pupp
    -0.75
     raft
    -0.71
     blanket
    -0.70
     tentacles
    -0.70
     syndrome
    -0.69
     parasite
    -0.68
     boarded
    -0.65
     RTX
    -0.63
     voucher
    -0.63
     surrog
    -0.63
    POSITIVE LOGITS
    Cal
    4.06
    cal
    2.66
     Cal
    2.36
     cal
    1.91
     CAL
    1.63
     recal
    1.31
     Calculator
    1.31
    Kal
    1.29
     calc
    1.27
     Calvin
    1.27
    Activations Density 0.022%

    No Known Activations