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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. 19767
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    INDEX
    Explanations

    numerical time references like days, weeks, and minutes

    oai_token-act-pair · gpt-3.5-turbo

    quantities related to durations and time intervals

    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
     dearly
    -0.65
    rower
    -0.65
    grave
    -0.62
     boldly
    -0.62
    dale
    -0.60
    rette
    -0.58
    soever
    -0.57
    stained
    -0.55
    ode
    -0.54
    Helper
    -0.54
    POSITIVE LOGITS
    %"
    1.12
     dozen
    1.01
    dozen
    0.91
     miles
    0.89
     percent
    0.89
    %
    0.87
    %.
    0.86
     minutes
    0.84
    %,
    0.82
     cents
    0.82
    Activations Density 0.146%

    No Known Activations