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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. 9-RES-JB
    11. 8994
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    Explanations

    phrases related to instructions or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    coordinating conjunctions and connections between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´
    -0.72
    interstitial
    -0.69
    ces
    -0.67
    quished
    -0.65
    choes
    -0.64
    aiden
    -0.63
    mania
    -0.62
    amon
    -0.62
    upiter
    -0.62
    >>>>
    -0.61
    POSITIVE LOGITS
     preferably
    1.55
     ideally
    1.15
     avoid
    1.10
     ensure
    1.10
     Otherwise
    1.04
     refrain
    1.04
     lest
    1.02
     minimize
    0.99
     secondly
    0.99
     educate
    0.95
    Activations Density 0.340%

    No Known Activations