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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. 7-RES-JB
    11. 20601
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    Explanations

    dates in the format of month and day that have a particular significance or are used in a social media context

    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mp
    -0.79
    cest
    -0.73
    bang
    -0.67
    puff
    -0.67
    amen
    -0.67
    soDeliveryDate
    -0.66
    ;;;;;;;;;;;;
    -0.66
    phia
    -0.66
    adelphia
    -0.65
    conom
    -0.65
    POSITIVE LOGITS
     26
    0.71
     29
    0.71
     24
    0.71
     28
    0.68
     27
    0.68
     23
    0.65
     22
    0.65
    raine
    0.65
    othy
    0.65
     headers
    0.65
    Activations Density 0.059%

    No Known Activations