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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 875
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    Explanations

    terms related to geological features or studies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to geological surveys and sediment processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.79
    elist
    -0.78
    oom
    -0.76
     wrench
    -0.72
    endix
    -0.71
    coon
    -0.71
     roast
    -0.69
     Mock
    -0.68
     bidding
    -0.68
    nered
    -0.66
    POSITIVE LOGITS
    tracks
    0.75
    sonian
    0.75
    sie
    0.74
    afety
    0.73
    Course
    0.72
    itud
    0.72
    pecially
    0.71
     Yellowstone
    0.71
    ain
    0.70
    song
    0.70
    Activations Density 0.023%

    No Known Activations