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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. 8-RES-JB
    11. 8164
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    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    references to time frames and deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ometimes
    -0.88
    usterity
    -0.87
    wagen
    -0.83
    uthor
    -0.77
     Helpful
    -0.76
    olulu
    -0.75
    rompt
    -0.75
    oppable
    -0.74
    ħĭ
    -0.74
    irie
    -0.70
    POSITIVE LOGITS
     departure
    0.93
     onset
    0.86
     arrival
    0.85
     elapsed
    0.82
     transition
    0.80
     entry
    0.78
     clearance
    0.72
     completion
    0.72
     initiating
    0.71
     registration
    0.71
    Activations Density 0.331%

    No Known Activations