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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. 6-RES-JB
    11. 14595
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    Explanations

    time-related events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time sequences or events occurring soon after a particular point

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acles
    -0.76
    aez
    -0.74
    kept
    -0.73
    enberg
    -0.72
    atically
    -0.72
    oS
    -0.71
     unfocusedRange
    -0.70
    utenberg
    -0.69
    owed
    -0.68
    oret
    -0.67
    POSITIVE LOGITS
    noon
    0.92
     midnight
    0.82
     quitting
    0.79
     noon
    0.77
    aneously
    0.77
     encountering
    0.75
    imester
    0.73
     arriving
    0.73
     completion
    0.72
     completing
    0.72
    Activations Density 0.037%

    No Known Activations