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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. 3-RES-JB
    11. 3543
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    Explanations

    words with the sub-string "ure"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ure"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.75
    ingham
    -0.61
    ependence
    -0.61
    ITNESS
    -0.60
     imperson
    -0.59
    iary
    -0.58
     sqor
    -0.58
    ibraries
    -0.57
    SpaceEngineers
    -0.57
    elled
    -0.57
    POSITIVE LOGITS
    nce
    1.12
    tsky
    1.11
    witz
    1.09
    nces
    1.02
    vich
    1.01
    lli
    1.00
    MENTS
    0.97
    tt
    0.93
    zza
    0.91
    ments
    0.90
    Activations Density 0.014%

    No Known Activations