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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. 11-RES-JB
    6. 11098
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    Explanations

    words related to needs and requirements

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to necessity and lack in various contexts

    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
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    No Comments

    Negative Logits
    yssey
    -0.59
    DragonMagazine
    -0.58
    oche
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    )</
    -0.58
    ãĥł
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    abet
    -0.56
    )!
    -0.55
    atsuki
    -0.55
    )|
    -0.54
    ISE
    -0.53
    POSITIVE LOGITS
     anymore
    1.01
     but
    1.01
     whereas
    0.90
     or
    0.88
    but
    0.84
     nor
    0.81
     etc
    0.78
    yet
    0.77
     yet
    0.76
     rather
    0.76
    Activations Density 0.564%

    No Known Activations