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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. 4-RES-JB
    11. 2848
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    Explanations

    words related to ecological issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ecological and environmental themes

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

    No Comments

    Negative Logits
    downs
    -0.83
    channelAvailability
    -0.77
     Osw
    -0.75
    down
    -0.74
    oons
    -0.72
     Gott
    -0.70
     transcripts
    -0.68
    rooms
    -0.68
    ority
    -0.66
    jong
    -0.65
    POSITIVE LOGITS
    entric
    0.98
     eco
    0.88
     sustainability
    0.79
    friendly
    0.78
    ocide
    0.78
    rolet
    0.77
    Boost
    0.75
    resp
    0.75
     footprint
    0.74
    femin
    0.73
    Activations Density 0.016%

    No Known Activations