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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. 1-RES-JB
    11. 10460
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    Explanations

    phrases related to being obligated or restricted in some way

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to obligations or constraints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MAT
    -0.75
    OTOS
    -0.74
    roma
    -0.72
     Trees
    -0.71
    Es
    -0.65
    ciation
    -0.65
    ETHOD
    -0.65
    apa
    -0.64
    PE
    -0.64
    issance
    -0.64
    POSITIVE LOGITS
     bound
    1.31
    bound
    1.02
    binding
    0.89
    sym
    0.80
    gling
    0.77
     lapt
    0.76
    unin
    0.76
     scrut
    0.75
    loads
    0.74
    fold
    0.72
    Activations Density 0.007%

    No Known Activations