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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. 12848
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    Explanations

    phrases indicating a process or progression of some kind, especially when reaching a significant point or transformation

    oai_token-act-pair · gpt-3.5-turbo

    instances of change or transformation

    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
     Glover
    -0.71
    atching
    -0.67
    orneys
    -0.62
    inately
    -0.62
    clock
    -0.60
     Hedge
    -0.58
     Pine
    -0.58
    gard
    -0.58
     Hawkins
    -0.58
     Container
    -0.58
    POSITIVE LOGITS
     entangled
    0.88
    Marginal
    0.78
    ¿½
    0.78
     extinct
    0.73
     disillusion
    0.72
     embroiled
    0.71
    ãĥĪ
    0.71
     unemploy
    0.69
    auer
    0.69
     streng
    0.69
    Activations Density 0.010%

    No Known Activations