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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. 7-RES-JB
    11. 21317
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    Explanations

    terms related to large scale phenomena or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "large" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gnu
    -0.81
    emis
    -0.72
    çīĪ
    -0.72
    vous
    -0.68
    BILITY
    -0.66
    emy
    -0.66
    qi
    -0.65
    lik
    -0.63
    Reviewed
    -0.63
    roma
    -0.63
    POSITIVE LOGITS
     intestine
    1.10
     quantities
    1.03
     scale
    1.03
     sized
    1.02
     amounts
    1.00
     (>
    0.98
     enough
    0.93
     denomination
    0.90
     swat
    0.90
     sums
    0.88
    Activations Density 0.060%

    No Known Activations