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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. 17841
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    Explanations

    superlatives indicating extreme quality or excellence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize superlatives or notable qualities

    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
    oult
    -0.74
    isson
    -0.69
    wards
    -0.67
    BILITIES
    -0.66
    bodied
    -0.65
    stant
    -0.64
    ward
    -0.63
    acon
    -0.63
    oxide
    -0.62
    LCS
    -0.62
    POSITIVE LOGITS
     world
    1.36
     country
    1.21
     nation
    1.15
     universe
    1.07
     entire
    1.05
     midst
    1.00
     history
    0.99
     shortest
    0.98
     vicinity
    0.96
     region
    0.93
    Activations Density 0.129%

    No Known Activations