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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. 10-RES-JB
    11. 16273
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    Explanations

    phrases related to costs and budgeting

    oai_token-act-pair · gpt-3.5-turbo

    references to cost-effectiveness and related financial metrics

    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
     initials
    -0.81
     Doe
    -0.74
     Jelly
    -0.74
     Crescent
    -0.67
     Knights
    -0.66
     Virus
    -0.66
     Bloody
    -0.65
     Milky
    -0.65
     jelly
    -0.65
     Kern
    -0.64
    POSITIVE LOGITS
    benefit
    1.52
    effective
    1.39
    sharing
    1.27
    efficient
    1.25
    cutting
    1.23
    saving
    1.22
    efficiency
    1.22
    effect
    1.16
    management
    1.13
    free
    1.10
    Activations Density 0.038%

    No Known Activations