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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. 1-RES-JB
    11. 16765
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    INDEX
    Explanations

    statements asserting or challenging claims

    oai_token-act-pair · gpt-3.5-turbo

    references to assertions or statements of belief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -0.95
    cffffcc
    -0.87
     Watching
    -0.80
     arrang
    -0.78
     electing
    -0.73
     simul
    -0.73
     newcom
    -0.72
    etheless
    -0.71
     stocking
    -0.71
     destro
    -0.65
    POSITIVE LOGITS
     claims
    1.10
    Claim
    1.03
     claim
    1.00
    ifications
    0.83
    ylum
    0.81
     Claim
    0.80
    BILITY
    0.80
    ulent
    0.79
     Cheong
    0.79
    oux
    0.79
    Activations Density 0.011%

    No Known Activations