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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. 1666
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    Explanations

    phrases related to persistence or continuous action until a specified condition is met

    oai_token-act-pair · gpt-3.5-turbo

    references to collective or individual actions and experiences

    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
     inference
    -0.70
    course
    -0.68
     Concern
    -0.66
     Associated
    -0.65
     overriding
    -0.64
     implication
    -0.62
    pires
    -0.61
     withholding
    -0.61
    quartered
    -0.61
    reporting
    -0.60
    POSITIVE LOGITS
    've
    1.20
    're
    1.03
     arrive
    1.00
     arrived
    0.96
     mastered
    0.93
     reaches
    0.92
     got
    0.92
     reach
    0.90
     get
    0.89
     finished
    0.88
    Activations Density 0.134%

    No Known Activations