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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. 9-RES-JB
    11. 13954
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    Explanations

    the concept of returning or coming back

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "come back" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.76
     PID
    -0.65
     Founding
    -0.62
    JECT
    -0.62
     NCT
    -0.61
     Conrad
    -0.61
     delegation
    -0.59
     understatement
    -0.58
     rollout
    -0.58
     stakes
    -0.57
    POSITIVE LOGITS
    packs
    0.94
    tracking
    0.83
    mort
    0.82
    door
    0.81
    stab
    0.80
     home
    0.80
    home
    0.80
    doors
    0.79
     alive
    0.79
    track
    0.78
    Activations Density 0.031%

    No Known Activations