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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. 2-RES-JB
    6. 5005
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    Explanations

    numerical measurements expressed using the number "180"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 180, likely in the context of measurements or temperatures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensional
    -0.82
    oru
    -0.77
    icism
    -0.75
    scape
    -0.75
    hower
    -0.74
    iche
    -0.74
    orc
    -0.72
    book
    -0.72
    achable
    -0.72
    zig
    -0.72
    POSITIVE LOGITS
     ILCS
    0.90
    º
    0.77
     degrees
    0.74
    °
    0.72
     burner
    0.71
    lbs
    0.70
     SHARES
    0.70
    mph
    0.69
     pounds
    0.68
    NAT
    0.68
    Activations Density 0.023%

    No Known Activations