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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. 1-RES-JB
    11. 13254
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    Explanations

    phrases related to the conclusion or resolution of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conclusion or finality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cler
    -0.79
    resy
    -0.73
    hee
    -0.72
    gon
    -0.70
    itsch
    -0.69
    ña
    -0.69
    hemat
    -0.68
    olds
    -0.67
    Hyper
    -0.67
    KS
    -0.66
    POSITIVE LOGITS
     ending
    0.91
     endings
    0.87
     Ending
    0.84
     goodbye
    0.74
     Ends
    0.74
    angering
    0.74
     corrid
    0.73
     sunset
    0.72
    tackle
    0.70
     sidel
    0.69
    Activations Density 0.006%

    No Known Activations