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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
    11. 1905
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    Explanations

    words related to things being below the surface or hidden from view

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ground" and its variations

    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
     locks
    -0.64
     quot
    -0.59
    ļéĨĴ
    -0.58
     TS
    -0.58
     confer
    -0.56
    ;;;;;;;;
    -0.56
     shy
    -0.56
     Ole
    -0.55
     bankers
    -0.55
     Hath
    -0.55
    POSITIVE LOGITS
    ground
    4.58
    grounds
    2.78
    Ground
    2.46
     ground
    2.11
     Ground
    2.06
    GROUND
    1.70
     Grounds
    1.40
     grounds
    1.21
    tones
    1.12
     grounded
    1.10
    Activations Density 0.013%

    No Known Activations