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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. 4-RES-JB
    11. 14706
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    Explanations

    references to different forms of media

    oai_token-act-pair · gpt-3.5-turbo

    the term "medium" in various contexts

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

    No Comments

    Negative Logits
    idel
    -0.72
    DIR
    -0.71
     Merch
    -0.70
    IGHTS
    -0.68
    ADRA
    -0.62
    ATHER
    -0.62
     Jarrett
    -0.62
    âĨij
    -0.61
    GBT
    -0.60
    OUND
    -0.60
    POSITIVE LOGITS
    ship
    0.91
     medium
    0.89
    weights
    0.87
    dayName
    0.83
    medium
    0.82
    weight
    0.77
    ĺħ
    0.75
    forward
    0.74
    lass
    0.73
     sized
    0.73
    Activations Density 0.008%

    No Known Activations