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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. 14125
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    Explanations

    words related to achieving a certain level or status

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualifying or eligibility

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Sparrow
    -0.72
     Spice
    -0.72
     Gardens
    -0.71
     Lans
    -0.71
     drip
    -0.64
     sleeve
    -0.64
    âĸ¬
    -0.63
    corn
    -0.62
     ende
    -0.59
     Strauss
    -0.59
    POSITIVE LOGITS
    ifies
    1.08
    ifiers
    1.08
    ifying
    1.06
    ifications
    1.04
    iotics
    0.90
    ifier
    0.89
    animous
    0.88
    itatively
    0.85
     qualifications
    0.81
    ndum
    0.79
    Activations Density 0.031%

    No Known Activations