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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

    the word "ear" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to ears or hearing-related contexts

    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
     Standing
    -0.76
     ABE
    -0.73
     VK
    -0.72
     Hast
    -0.72
     Vide
    -0.71
     Alam
    -0.70
     Mahm
    -0.69
     Turnbull
    -0.67
     Mub
    -0.66
     Nevada
    -0.65
    POSITIVE LOGITS
    ldom
    1.19
     ear
    1.14
     lobe
    1.08
    rings
    1.03
    phones
    1.00
     canal
    0.96
    bone
    0.96
    marked
    0.94
    piece
    0.93
    wig
    0.92
    Activations Density 0.008%

    No Known Activations