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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. 4-RES-JB
    11. 968
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    Explanations

    phrases indicating attribution of information or quoting someone

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and conjunctive phrases indicating relationships or associations

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

    No Comments

    Negative Logits
    swick
    -0.70
    case
    -0.69
    701
    -0.62
    agate
    -0.61
     Entered
    -0.60
     cig
    -0.60
     diarrhea
    -0.60
    aceae
    -0.59
    tumblr
    -0.59
    ãĤ¼ãĤ¦ãĤ¹
    -0.58
    POSITIVE LOGITS
    alys
    0.75
     Cly
    0.72
    mosp
    0.60
    matter
    0.58
    np
    0.58
    adding
    0.57
    nation
    0.57
    uko
    0.55
    region
    0.55
    cients
    0.55
    Activations Density 0.362%

    No Known Activations