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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. 11-RES-JB
    11. 1905
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    Explanations

    phrases related to cost-effectiveness or pricing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cost-effectiveness and energy

    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
    Not in Any Lists

    No Comments

    Negative Logits
     initials
    -0.71
    ulhu
    -0.70
     Doodle
    -0.70
    ograph
    -0.68
    iaries
    -0.65
    auga
    -0.65
     Klu
    -0.64
     Pompe
    -0.64
    ICLE
    -0.64
     Thu
    -0.64
    POSITIVE LOGITS
    efficient
    1.58
    effective
    1.55
    friendly
    1.31
    saving
    1.22
    competitive
    1.22
    conscious
    1.21
    Effective
    1.21
    sav
    1.14
    sensitive
    1.12
    neutral
    1.11
    Activations Density 0.102%

    No Known Activations