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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. 635
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    INDEX
    Explanations

    mentions of personal experiences or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experience or ownership

    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
    Reviewer
    -0.76
    orer
    -0.65
     outweigh
    -0.61
    VERTISEMENT
    -0.61
    odder
    -0.60
    ellar
    -0.60
    eret
    -0.59
    alyses
    -0.58
    ourgeois
    -0.58
     rab
    -0.58
    POSITIVE LOGITS
     myself
    0.98
    tta
    0.82
     personally
    0.75
    heart
    0.75
    var
    0.73
    been
    0.72
    ÃŃ
    0.69
     thee
    0.69
    fortunately
    0.67
    xc
    0.67
    Activations Density 0.062%

    No Known Activations