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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. 12672
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    Explanations

    terms related to accuracy or precision

    oai_token-act-pair · gpt-3.5-turbo

    references to accuracy in various contexts

    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
    sg
    -0.81
     Pharma
    -0.76
    joining
    -0.76
    neys
    -0.75
    Bi
    -0.75
    Ing
    -0.73
    JECT
    -0.71
    Baby
    -0.71
     Saga
    -0.69
     Ala
    -0.68
    POSITIVE LOGITS
    uracy
    1.50
     accuracy
    1.00
    acies
    1.00
     guiActiveUn
    1.00
     inacc
    0.95
     mathemat
    0.84
     destro
    0.84
     transmission
    0.82
     rating
    0.82
     appraisal
    0.80
    Activations Density 0.011%

    No Known Activations