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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. 0-RES-JB
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    Explanations

    references to "receiving" or "receiving something" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rec" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.74
    eday
    -0.73
    Sham
    -0.69
    hap
    -0.67
     Doodle
    -0.67
    dogs
    -0.66
    ager
    -0.66
    utan
    -0.65
    dust
    -0.65
    drivers
    -0.64
    POSITIVE LOGITS
     rec
    3.76
     Rec
    1.77
    rec
    1.56
    Rec
    1.38
     REC
    1.34
     recon
    1.18
     recursive
    1.16
     recite
    1.15
    REC
    1.11
     reapp
    1.11
    Activations Density 0.016%

    No Known Activations