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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. 111
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    Explanations

    numbers

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to ambiguity and complexity in discussions

    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
     juggling
    -0.66
     Monroe
    -0.64
     colleague
    -0.64
     partner
    -0.63
     wedge
    -0.63
     shell
    -0.62
     concede
    -0.61
     partnership
    -0.61
     delegation
    -0.61
     cooperative
    -0.61
    POSITIVE LOGITS
    uates
    1.19
    ends
    1.14
    ates
    1.08
    should
    1.07
    sets
    1.05
    s
    1.03
    thens
    1.02
    udes
    1.02
    tis
    1.00
    tains
    1.00
    Activations Density 0.132%

    No Known Activations