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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. 280
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    Explanations

    comparative and superlative forms of adjectives

    oai_token-act-pair · gpt-3.5-turbo

    comparative and superlative adjectives

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.79
    vation
    -0.76
    xia
    -0.74
    iets
    -0.72
    iple
    -0.72
    uese
    -0.71
    culosis
    -0.70
     Peaks
    -0.69
    pause
    -0.68
    uay
    -0.68
    POSITIVE LOGITS
     importantly
    0.91
     durable
    0.87
     alike
    0.84
     centered
    0.82
     reliant
    0.81
    dated
    0.81
     depend
    0.81
     dependent
    0.80
     educated
    0.80
    connected
    0.80
    Activations Density 0.155%

    No Known Activations