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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. 9-RES-JB
    11. 9116
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    Explanations

    phrases indicating consolidation or aggregation into a single entity or location

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of consolidation or grouping into a single entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lov
    -0.85
    emies
    -0.80
    erved
    -0.74
    illard
    -0.71
    xtap
    -0.70
    older
    -0.67
    IRO
    -0.67
    anwhile
    -0.66
    ardy
    -0.66
    incent
    -0.66
    POSITIVE LOGITS
     swoop
    0.97
     cohesive
    0.91
     neat
    0.84
     tidy
    0.82
     continuous
    0.80
     hemisphere
    0.79
     coherent
    0.79
     mole
    0.78
     basket
    0.77
     stroke
    0.77
    Activations Density 0.094%

    No Known Activations