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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
    11. 12635
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    Explanations

    words related to motion and movement

    oai_token-act-pair · gpt-3.5-turbo

    words related to processes of rotation or spinning

    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
    egu
    -0.75
     Cust
    -0.68
    Veter
    -0.65
    ãĤĮ
    -0.65
    nov
    -0.64
    unts
    -0.64
    ufact
    -0.63
    speech
    -0.63
    young
    -0.63
     unpublished
    -0.62
    POSITIVE LOGITS
    agonal
    0.88
     downwards
    0.87
     axis
    0.86
    axis
    0.81
     velocity
    0.79
     towards
    0.79
     pedals
    0.76
     direction
    0.76
     upward
    0.75
    cycles
    0.73
    Activations Density 0.129%

    No Known Activations