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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. 18879
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    Explanations

    phrases related to the concept of bringing something in financially or physically

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "bring in"

    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
    =]
    -0.77
    maker
    -0.73
    makers
    -0.66
     SHOULD
    -0.65
    CLASSIFIED
    -0.64
     COUR
    -0.64
    STER
    -0.62
    ends
    -0.61
    Pic
    -0.60
    esa
    -0.59
    POSITIVE LOGITS
    ordinate
    1.03
    animate
    0.88
    umbn
    0.87
    ividual
    0.85
    apt
    0.83
     lieu
    0.83
    regor
    0.82
    oki
    0.76
    osponsors
    0.76
    ependence
    0.75
    Activations Density 0.054%

    No Known Activations