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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. 3-RES-JB
    11. 20985
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    INDEX
    Explanations

    numerical values related to margins

    oai_token-act-pair · gpt-3.5-turbo

    references to margin of error in data analysis or reporting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haus
    -0.74
    JECT
    -0.73
    wagen
    -0.73
    Gil
    -0.71
    noxious
    -0.70
    VK
    -0.70
    tics
    -0.66
    mine
    -0.65
    Adams
    -0.65
    yer
    -0.65
    POSITIVE LOGITS
     margin
    1.33
     margins
    1.13
    margin
    0.91
    asonic
    0.76
     landslide
    0.71
    heric
    0.71
     difference
    0.71
     separating
    0.69
    olicy
    0.68
     gap
    0.68
    Activations Density 0.010%

    No Known Activations