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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. 4624
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    Explanations

    mentions of people putting on or wearing clothing

    oai_token-act-pair · gpt-3.5-turbo

    words that convey the concept of wearing or being adorned with clothing or accessories

    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
     breeze
    -0.69
    izoph
    -0.66
    vernment
    -0.66
    akespeare
    -0.65
    inventoryQuantity
    -0.64
    Sit
    -0.62
     Situation
    -0.61
    irlf
    -0.61
     Jinn
    -0.61
    OA
    -0.58
    POSITIVE LOGITS
    ding
    0.84
    ouble
    0.84
    icated
    0.82
    uits
    0.82
    ned
    0.81
    nesday
    0.79
    gling
    0.78
    BuyableInstoreAndOnline
    0.77
    monton
    0.77
    aturally
    0.76
    Activations Density 0.010%

    No Known Activations