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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. 10-RES-JB
    6. 13887
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    Explanations

    phrases related to self-interest and social issues

    oai_token-act-pair · gpt-3.5-turbo

    complex concepts related to self-interest and interdependence in societal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tours
    -0.84
     braces
    -0.82
     packs
    -0.80
     ambassadors
    -0.80
     racks
    -0.79
     cleaners
    -0.79
     tourists
    -0.79
     rentals
    -0.78
     trailers
    -0.77
     interns
    -0.75
    POSITIVE LOGITS
    existing
    1.38
    intuitive
    1.25
    rational
    1.23
    dimensional
    1.22
    linear
    1.19
    context
    1.18
    defined
    1.16
    ministic
    1.14
    functional
    1.13
    hist
    1.12
    Activations Density 0.255%

    No Known Activations