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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. 7-RES-JB
    11. 19133
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    Explanations

    phrases related to actions or activities to be done or considered

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "to" followed by various actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.77
     substitutes
    -0.70
    apps
    -0.68
    listed
    -0.66
    calling
    -0.65
    riot
    -0.65
     dup
    -0.60
     loops
    -0.60
     refunds
    -0.60
    hops
    -0.59
    POSITIVE LOGITS
    ggles
    1.11
     cherish
    1.02
     acquire
    0.95
    ilet
    0.95
     insure
    0.93
     achieve
    0.93
    ilers
    0.92
     learn
    0.88
     accomplish
    0.88
    wered
    0.87
    Activations Density 0.154%

    No Known Activations