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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. 7761
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    Explanations

    numerical values or data

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "recorded."

    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
    Weak
    -0.70
    upp
    -0.68
    INESS
    -0.67
    orient
    -0.66
    pel
    -0.66
    gre
    -0.65
    ju
    -0.65
     srfAttach
    -0.64
    wcsstore
    -0.63
     Gors
    -0.63
    POSITIVE LOGITS
     recorded
    3.80
    recorded
    2.42
     Recorded
    2.37
     recording
    2.13
     recordings
    1.91
     filmed
    1.89
     documented
    1.80
     taped
    1.62
     record
    1.60
     Recording
    1.59
    Activations Density 0.006%

    No Known Activations