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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. 6-RES-JB
    11. 14812
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    Explanations

    verbs related to the completion or finalization of a task or process

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to completion or finalization of tasks and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASE
    -0.75
    ibur
    -0.66
    Sing
    -0.59
     abst
    -0.58
    RIC
    -0.57
     presidents
    -0.56
     Nanto
    -0.56
     slee
    -0.56
    paralle
    -0.55
     rides
    -0.54
    POSITIVE LOGITS
    .[
    0.71
    rier
    0.70
    .).
    0.69
    qqa
    0.68
    .''
    0.68
    .(
    0.67
    .]
    0.67
    .'
    0.66
    icted
    0.66
     Dise
    0.65
    Activations Density 0.254%

    No Known Activations