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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. 17102
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    Explanations

    sequences of numbers with specific patterns

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to various categories

    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
    itness
    -0.75
    ITNESS
    -0.71
    etimes
    -0.71
    ivities
    -0.67
    aned
    -0.66
    minist
    -0.64
    ement
    -0.63
    chy
    -0.63
    pers
    -0.61
    gel
    -0.59
    POSITIVE LOGITS
     onwards
    0.88
     onward
    0.78
     inher
    0.71
    LEASE
    0.67
     srfAttach
    0.65
     Coming
    0.64
     Forth
    0.61
    hello
    0.60
    ():
    0.59
    foo
    0.57
    Activations Density 0.099%

    No Known Activations