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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. 13247
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    Explanations

    words related to significant increases or intensifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to escalating situations or tensions

    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
    orah
    -0.56
     tracker
    -0.51
     sag
    -0.50
     component
    -0.50
     tracking
    -0.49
     Moz
    -0.48
    dfx
    -0.47
     backdoor
    -0.47
     grade
    -0.47
    enh
    -0.47
    POSITIVE LOGITS
    iously
    0.87
    ingly
    0.86
    antly
    0.79
    ously
    0.77
    efully
    0.74
    theless
    0.71
    GGGG
    0.69
    ATIONS
    0.66
    ably
    0.65
    geoning
    0.65
    Activations Density 0.385%

    No Known Activations