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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. 4-RES-JB
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    repetitions of the word "same" followed by a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "same" in various contexts

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

    No Comments

    Negative Logits
    *=-
    -0.68
    Interstitial
    -0.64
    omics
    -0.63
    ommod
    -0.62
    EXP
    -0.60
    ases
    -0.60
    Frag
    -0.60
    atown
    -0.59
    live
    -0.59
    arest
    -0.59
    POSITIVE LOGITS
     vein
    0.88
     exact
    0.86
     thing
    0.82
    Same
    0.72
    rity
    0.71
    same
    0.70
     amount
    0.70
     scenario
    0.68
    worldly
    0.66
     reason
    0.66
    Activations Density 0.043%

    No Known Activations