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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. 8-RES-JB
    11. 5493
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    Explanations

    actions or activities being done by individuals

    oai_token-act-pair · gpt-3.5-turbo

    actions involving sustained effort or attempts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eka
    -0.83
    redo
    -0.75
    cia
    -0.70
    cens
    -0.67
     appointing
    -0.66
    anza
    -0.64
    si
    -0.64
    anasia
    -0.63
    actic
    -0.63
     leaning
    -0.62
    POSITIVE LOGITS
    redients
    0.75
     assignments
    0.71
     furiously
    0.70
     circuits
    0.67
    -+-+
    0.64
     forks
    0.64
     classes
    0.64
     things
    0.63
     dishes
    0.62
     bugs
    0.62
    Activations Density 0.342%

    No Known Activations