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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. 14795
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    Explanations

    the phrase "each and every" preceding a verb or noun

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frequency or repetition

    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
    OGR
    -0.74
    eele
    -0.68
    ersive
    -0.68
    osate
    -0.60
    gur
    -0.60
    eki
    -0.58
    xual
    -0.57
     Xer
    -0.56
    ainment
    -0.56
    itech
    -0.55
    POSITIVE LOGITS
    minute
    0.77
    âĸ¬
    0.70
     imaginable
    0.69
    single
    0.68
    adelphia
    0.67
    few
    0.65
    Else
    0.64
     conceivable
    0.64
    thens
    0.63
    grain
    0.63
    Activations Density 0.045%

    No Known Activations