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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. 8-RES-JB
    11. 1977
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    Explanations

    phrases indicating a change or transition in a process

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the introduction of new concepts or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.74
    past
    -0.67
    urances
    -0.67
    ardless
    -0.65
    cffff
    -0.65
    achev
    -0.62
    iolet
    -0.60
    detail
    -0.58
    Ĥİ
    -0.57
    cause
    -0.57
    POSITIVE LOGITS
     excel
    0.87
     shines
    0.84
     shine
    0.78
     heaviest
    0.75
     exce
    0.71
     weakest
    0.68
     darkest
    0.68
     happiest
    0.65
     differs
    0.65
     hardest
    0.64
    Activations Density 0.303%

    No Known Activations