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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. 3136
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    Explanations

    various forms of the modal verb 'can' alongside 'cannot' and related expressions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs related to ability and possibility

    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
     preferring
    -0.81
     thanking
    -0.77
     submitting
    -0.77
     signing
    -0.75
     eager
    -0.74
     pledging
    -0.72
     eyeing
    -0.71
     wants
    -0.70
     pressing
    -0.69
     ordering
    -0.68
    POSITIVE LOGITS
    't
    1.11
    berra
    1.02
    adian
    1.02
     be
    1.01
     plaus
    0.98
     withstand
    0.97
    NOT
    0.92
    alys
    0.91
     occur
    0.88
     feas
    0.86
    Activations Density 0.183%

    No Known Activations