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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. 10-RES-JB
    11. 7175
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    Explanations

    phrases related to importance or significance in a context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize significance or importance in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    iture
    -0.86
    anse
    -0.81
    UME
    -0.79
    ourt
    -0.78
    plete
    -0.77
    cape
    -0.72
    brance
    -0.72
    ablishment
    -0.72
    heit
    -0.70
    utation
    -0.70
    POSITIVE LOGITS
     reasons
    1.49
     earliest
    1.23
     drawbacks
    1.20
     biggest
    1.19
     hardest
    1.18
     coolest
    1.16
     strang
    1.16
     easiest
    1.13
     advantages
    1.11
     greatest
    1.11
    Activations Density 0.076%

    No Known Activations