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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. 16645
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    periods at the end of sentences

    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
     mosqu
    -0.61
    OGR
    -0.61
     behavi
    -0.60
     clutch
    -0.60
     monetary
    -0.59
     recol
    -0.55
     achievement
    -0.55
     blat
    -0.54
     bom
    -0.54
     genius
    -0.54
    POSITIVE LOGITS
     Madness
    0.82
     31
    0.81
     29
    0.80
     28
    0.78
    ools
    0.75
     26
    0.75
     27
    0.75
     23
    0.73
     22
    0.72
    ruary
    0.72
    Activations Density 0.033%

    No Known Activations