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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. 6-RES-JB
    11. 9616
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    INDEX
    Explanations

    phrases describing something exceptional or of high quality

    oai_token-act-pair · gpt-3.5-turbo

    positive adjectives describing excellence or greatness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yer
    -0.76
    sterdam
    -0.74
    pex
    -0.73
    pai
    -0.73
    adr
    -0.72
    pta
    -0.72
    breakers
    -0.69
    PT
    -0.67
    lder
    -0.66
    lest
    -0.65
    POSITIVE LOGITS
     earthqu
    0.89
    ally
    0.86
    aneously
    0.84
     sounding
    0.80
    ulously
    0.79
     proportions
    0.76
     amount
    0.73
     amounts
    0.71
     acceleration
    0.71
     achievement
    0.70
    Activations Density 0.041%

    No Known Activations