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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. 9-RES-JB
    11. 23991
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    Explanations

    phrases related to legal or formal claims

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to claims or assertions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arrang
    -0.68
    stable
    -0.65
    odes
    -0.65
     Adventures
    -0.65
    izo
    -0.64
     Carbuncle
    -0.64
    schild
    -0.63
     unpre
    -0.60
     sights
    -0.60
    sung
    -0.59
    POSITIVE LOGITS
    ulent
    0.87
    ulence
    0.83
    ylum
    0.81
    ifications
    0.81
    fulness
    0.80
     against
    0.75
    oux
    0.74
    orial
    0.74
    Claim
    0.73
     deduction
    0.70
    Activations Density 0.034%

    No Known Activations