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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. 11-RES-JB
    11. 5400
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    Explanations

    phrases related to decluttering or removing obstacles

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of clearing or removing obstacles or distractions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingo
    -0.76
    nv
    -0.65
    ibe
    -0.61
    ties
    -0.60
    ENCE
    -0.59
    NING
    -0.59
    ENTS
    -0.58
    atility
    -0.58
     reproduced
    -0.57
    rams
    -0.57
    POSITIVE LOGITS
     waivers
    1.04
     Skies
    0.88
     skies
    0.87
    houses
    0.87
    ances
    0.86
     clutter
    0.84
    brush
    0.83
     away
    0.82
     hurdle
    0.81
    ance
    0.79
    Activations Density 0.037%

    No Known Activations