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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. 3-RES-JB
    11. 3069
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    Explanations

    references to specific structures or locations, particularly ones related to infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    references to infrastructure and construction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.72
    SPONSORED
    -0.65
     residency
    -0.62
    Flo
    -0.62
     attendant
    -0.61
     accompanying
    -0.60
     remission
    -0.60
    DOS
    -0.59
    OTA
    -0.59
    History
    -0.59
    POSITIVE LOGITS
    rast
    1.34
    inators
    1.05
    inating
    1.02
    ination
    0.93
    inator
    0.84
    inated
    0.83
    aic
    0.81
    algia
    0.77
    rals
    0.77
    minist
    0.76
    Activations Density 0.012%

    No Known Activations