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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
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    Explanations

    references to the term "rian" with different levels of relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Adrian"

    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
    UV
    -0.84
    rooms
    -0.74
    mable
    -0.70
    leaf
    -0.70
    spring
    -0.69
    tub
    -0.68
     defe
    -0.68
    starting
    -0.68
    urious
    -0.68
    redd
    -0.66
    POSITIVE LOGITS
    rian
    1.10
    rians
    0.89
    oad
    0.83
    enburg
    0.81
    thal
    0.81
    oute
    0.78
    eca
    0.73
    ism
    0.71
    gian
    0.71
    ovic
    0.71
    Activations Density 0.010%

    No Known Activations