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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

    instances of the word "hop" in the text

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "hop."

    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
    Downloadha
    -0.84
     behold
    -0.74
    anguage
    -0.72
     IMAGES
    -0.71
     herein
    -0.66
     withd
    -0.65
     bruising
    -0.65
    âĶĢâĶĢ
    -0.64
    ccording
    -0.63
     Monstrous
    -0.62
    POSITIVE LOGITS
    efully
    1.53
    eful
    1.43
    hop
    1.22
    Hop
    1.12
    eless
    1.05
     Hop
    0.95
    daq
    0.91
    lins
    0.86
    esy
    0.85
    rak
    0.85
    Activations Density 0.008%

    No Known Activations