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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. 1759
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    Explanations

    phrases related to actions that bring closure or resolution

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating attempts to conclude or resolve issues

    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
    eming
    -0.69
     Digest
    -0.66
     Received
    -0.65
    terness
    -0.64
     unfocusedRange
    -0.59
     Provides
    -0.58
     Dise
    -0.58
    ģ«
    -0.58
    xton
    -0.57
     NETWORK
    -0.57
    POSITIVE LOGITS
     brakes
    1.06
     emphasis
    1.01
     finishing
    0.89
     blame
    0.87
     stamp
    0.86
     aside
    0.84
     burden
    0.82
     lid
    0.77
     spotlight
    0.75
     pedal
    0.73
    Activations Density 0.112%

    No Known Activations