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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. 14254
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    Explanations

    phrases expressing causality

    oai_token-act-pair · gpt-3.5-turbo

    the word "because" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    robe
    -0.77
    shaw
    -0.75
    jc
    -0.73
    thal
    -0.71
    apse
    -0.67
    lean
    -0.66
    ilet
    -0.64
    Gaza
    -0.62
    Pont
    -0.62
    ices
    -0.62
    POSITIVE LOGITS
     they
    0.88
     there
    0.80
     THEY
    0.76
     we
    0.73
     someone
    0.71
    */(
    0.71
    xual
    0.71
     nobody
    0.69
    fy
    0.65
     of
    0.64
    Activations Density 0.072%

    No Known Activations