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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. 9-RES-JB
    11. 5860
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    Explanations

    references to directions or positions, such as left, right, south, north

    oai_token-act-pair · gpt-3.5-turbo

    positional references, particularly related to left and right

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imet
    -0.80
     Scrib
    -0.79
     Appl
    -0.71
     Mutual
    -0.71
    semb
    -0.68
    ©¶æ¥µ
    -0.68
    76561
    -0.66
     Dram
    -0.62
     Flavoring
    -0.61
    Mut
    -0.60
    POSITIVE LOGITS
    left
    1.29
     left
    1.23
    center
    1.22
    middle
    1.22
     Left
    1.20
    Left
    1.19
     centre
    1.19
     center
    1.16
    bottom
    1.14
     middle
    1.13
    Activations Density 0.214%

    No Known Activations