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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. 6-RES-JB
    11. 2897
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    Explanations

    phrases related to actions of placing or inserting things in various locations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to instructions or actions for placing items in specific locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lance
    -0.72
    ZA
    -0.71
    ¿½
    -0.71
    casters
    -0.68
    ¶ħ
    -0.67
    HH
    -0.65
     fortunes
    -0.65
    Ł
    -0.64
    λ
    -0.64
    catentry
    -0.64
    POSITIVE LOGITS
     securely
    0.79
    washer
    0.78
     unpop
    0.74
    urized
    0.71
     orbit
    0.69
    JECT
    0.68
     onto
    0.67
    ridge
    0.66
    pload
    0.65
    ridges
    0.64
    Activations Density 0.217%

    No Known Activations