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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. 7-RES-JB
    11. 3681
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    Explanations

    requests or actions related to quick tasks or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "quick" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortmund
    -0.78
    reon
    -0.74
    ÃįÃį
    -0.72
    ichick
    -0.72
    #$#$
    -0.71
    Ãį
    -0.69
    redients
    -0.69
    ertodd
    -0.68
    untled
    -0.67
    mercial
    -0.66
    POSITIVE LOGITS
    ened
    1.20
    ening
    1.19
    itude
    1.05
    lime
    1.00
     turnaround
    1.00
    eners
    0.98
     succession
    0.96
    fix
    0.96
    ness
    0.91
    aneously
    0.91
    Activations Density 0.030%

    No Known Activations