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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. 1-RES-JB
    11. 7519
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    Explanations

    projected values or estimates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to projections and forecasts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ste
    -0.79
    Interstitial
    -0.78
    ique
    -0.75
    isks
    -0.73
    ALT
    -0.73
    galitarian
    -0.69
    abet
    -0.69
    step
    -0.67
    icus
    -0.66
    ifestyle
    -0.66
    POSITIVE LOGITS
     projections
    1.16
     projected
    1.05
     projection
    0.92
     Archdemon
    0.82
    igible
    0.77
     rall
    0.74
     forecasts
    0.74
     projecting
    0.73
     unbeliev
    0.72
     projector
    0.71
    Activations Density 0.006%

    No Known Activations