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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. 5087
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    Explanations

    phrases related to returning or making a comeback

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to returning or coming back

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.81
    anto
    -0.64
    JECT
    -0.60
    pport
    -0.60
     Limit
    -0.60
    esson
    -0.60
    anse
    -0.58
    apo
    -0.57
     Mane
    -0.57
    =-=-=-=-=-=-=-=-
    -0.57
    POSITIVE LOGITS
     alive
    0.88
     home
    0.87
    packs
    0.86
     stronger
    0.83
    stab
    0.82
     HOME
    0.79
     refreshed
    0.76
    home
    0.75
    tracking
    0.75
     unused
    0.73
    Activations Density 0.040%

    No Known Activations