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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. 2670
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    Explanations

    length measurements or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of length

    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
    tical
    -0.79
    BA
    -0.73
    gency
    -0.70
    JECT
    -0.67
    inatory
    -0.66
     subconscious
    -0.64
    eer
    -0.64
    HAEL
    -0.63
    encia
    -0.63
    tic
    -0.63
    POSITIVE LOGITS
     length
    1.33
     lengths
    1.25
    length
    1.10
     Length
    0.91
    Length
    0.89
     circumference
    0.89
     nodd
    0.89
     ILCS
    0.87
    shed
    0.85
    ftime
    0.80
    Activations Density 0.007%

    No Known Activations